Publications
Selected Publications
2024
IEEE ICHI 2024
IEEE SDS 2024
Md. Ashraful Islam, Chowdhury Farhan Ahmed, Md. Tanvir Alam, Carson Kai-Sang Leung: Graph-based substructure pattern mining with edge-weight. Applied Intelligence (2024)
Redwan Ahmed Rizvee, Chowdhury Farhan Ahmed, Md. Fahim Arefin, Carson K. Leung: A new tree-based approach to mine sequential patterns. Expert Systems with Applications (ESWA) 242: 122754:1-122754:28 (May 2024)
Brett E. Downey, Carson K. Leung, Adam G.M. Pazdor, Ryan A.L. Petrillo, Denys Popov, Benjamin R. Schneider: Anomaly detection with generalized isolation forest. AINA 2024, vol. 2 (LNDECT 200): 356-368
Connor C.J. Hryhoruk, Carson K. Leung, Jingyuan Li, Brandon A. Narine, Felix Wedel: Multi-level frequent pattern mining on pipeline incident data. AINA 2024, vol. 2 (LNDECT 200): 380-392
Leann Lac, Carson K. Leung, Pingzhao Hu: Computational frameworks integrating deep learning and statistical models in mining multimodal omics data. Journal of Biomedical Informatics 152: 104629:1-104629:13 (April 2024)
Xiaokang Zhou, Carson K. Leung, Kevin Wang, Giancarlo Fortino: Deep learning-empowered big data analytics in biomedical applications and digital healthcare. IEEE/ACM Transactions on Computational Biology and Bioinformatics 21(4) (March/April 2024)
Yan Sun, Yanyi Li, Carson K. Leung, Pingzhao Hu: iNGNN-DTI: prediction of drug - target interaction with interpretable nested graph neural network and pretrained molecule models. Bioinformatics 40(3): btae135:1-btae135:12 (March 2024)
Carson K. Leung: Biomedical informatics: state of the art, challenges, and opportunities. BioMedInformatics 4(1): 89-97 (March 2024)
Wakilur Islam, Rezaul Karim, Md Samiullah, Chowdhury Farhan Ahmed, Carson K. Leung, Adam G.M. Pazdor, Connor C.J. Hryhoruk: An efficient approach to learn an effective hierarchy of a set of OOBN classes. IMCOM 2024 (8)
Inzamamul Alam, Md Samiullah, Upama Kabir, Simon Woo, Carson K. Leung, Hoang Hai Nguyen: SREMIC: spatial relation extraction-based malware image classification. IMCOM 2024 (8)
Sartaj Solaiman, B.M. Obaydur Rahman, Md. Fahim Arefin, Chowdhury Farhan Ahmed, Carson K. Leung, Evan W.R. Madill: Unveiling market sentiments: a comprehensive analysis of stock market responses to diverse news events using data mining techniques. IMCOM 2024 (8)
Md. Tanvir Alam, Chowdhury Farhan Ahmed, Md. Samiullah, Carson Kai-Sang Leung: Discovering interesting patterns from hypergraphs. ACM Transactions on Knowledge Discovery from Data (TKDD) 18(1): 32:1-32:34 (January 2024)
2023
Jeong-Hun Kim, Fei Hao, Carson Kai-Sang Leung, Aziz Nasridinov: Cluster-guided temporal modeling for action recognition. International Journal of Multimedia Information Retrieval 12(2): 15:1-15:18 (December 2023)
Carson K. Leung, Evan W.R. Madill, Qi Wen: A privacy-preserving semi-decentralized personalized recommendation system. IEEE BigData 2023 (8)
Alfredo Cuzzocrea, Abderraouf Hafsaoui, Carson K. Leung: Machine-learning-based multidimensional big data analytics over clouds via multi-columnar big OLAP data cube compression. IEEE BigData 2023 (7)
Golnaz Sababipour Asl, Kiarash Shamsi, Ruppa K. Thulasiram, Cuneyt Akcora, Carson Leung: Deep learning-based credit score prediction: hybrid LSTM-GRU model. IEEE SSCI (CIFEr) 2023: 395-400
Carson K. Leung, Hoang Hai Nguyen: A novel deep learning approach for breast cancer detection on screening mammography. IEEE BIBE 2023: 277-284
Ngoc Pham, Yixi Wu, Carson K. Leung, Mohammadafaz Munshi, Vrushil Patel: Data analytics for dependable transportation systems in a smart city. IEEE DASC-PiCom-CBDCom-CyberSciTech 2023 (IEEE DSAC): 323-332.
Thomas J. Czubryt, Connor C.J. Hryhoruk, Carson K. Leung, Adam G.M. Pazdor: Efficient vertical mining of frequent quantitative patterns. IEEE DASC-PiCom-CBDCom-CyberSciTech 2023: 950-955. Best Paper of IEEE CBDCom 2023
Connor C.J. Hryhoruk, Carson K. Leung, Adam G.M. Pazdor: Social network mining and analytics for quantitative patterns. IEEE/ACM ASONAM 2023: 717-724
Carson K. Leung, Qi Wen: Personalized privacy-preserving semi-centralized recommendation system in a social network. IEEE/ACM ASONAM 2023: 727-736
A.M. Aahad, Khondker Bin Yamin, Md Samiullah, Chowdhury Farhan Ahmed, Carson K. Leung, Evan W.R. Madill, Adam G.M. Pazdor: Connectable and independent junction tree-based compilation technique of object-oriented Bayesian networks. IEEE ICTAI 2023: 221-228
Nhu Minh Ngoc Pham, Yixi Wu, Carson K. Leung, Mohammadafaz V. Munshi, Vrushil Kiritkumar Patel, Connor C.J. Hryhoruk: A big data science and engineering solution for transit performance analytics. IEEE TrustCom (IEEE BigDataSE) 2023: 2299-2306
Qi Wen, Carson K. Leung, Adam G.M. Pazdor: Personalized privacy-preserving semi-centralized recommendation system in a trust-based agent network: IEEE TrustCom (IUCC) 2023: 2649-2656
Carson K. Leung, Gabriella Pasi (eds): International Journal of Data Science and Analytics (JDSA) 16(4), special issue on theoretical and practical data science and analytics: DSAA 2022 (October 2023)
Carson K. Leung, Gabriella Pasi, Li Wang: Theoretical and practical data science and analytics: challenges and solutions. International Journal of Data Science and Analytics (JDSA) 16(4), special issue on theoretical and practical data science and analytics: DSAA 2022: 403-406 (October 2023)
Fahim Faisal, Carson K. Leung, Noman Mohammed, Yang Wang: Privacy-preserving learning via data and knowledge distillation. IEEE DSAA 2023: 527-536
David Ojo, Nusayer Masud Siddique, Carson K. Leung, Connor C.J. Hryhoruk: Machine learning-based Android malware detection. IEEE DSAA 2023: 733-742
Jiaxing Mai, Carson K. Leung, Connor C.J. Hryhoruk, Adam G.M. Pazdor: Enhanced mining of high utility patterns from streams of dynamic profit. IEEE DSAA 2023: 981-990
Deyu Deng, Carson K. Leung, Adam G.M. Pazdor: Dynamic pricing for parking facility. INCoS 2023 (LNDECT 182): 136-147
Eric Lin, Boyuan Liu, Leann Lac, Daryl L.X. Fung, Carson K. Leung, Pingzhao Hu: scGMM-VGAE: a Gaussian mixture model-based variational graph autoencoder algorithm for clustering single-cell RNA-seq data. Machine Learning: Science and Technology 4(3): 035013:1-035013:12 (September 2023)
Brett M. Adamson, Michael J. Bathie, Carson K. Leung, Jordan D. Portz, Emmanuel S. Valete, Cole T. Voelpel, Adam G.M. Pazdor: A recommender system for an online game platform in the metaverse. IEEE Metaverse 2023 (8)
Thomas J. Czubryt, Connor C.J. Hryhoruk, Carson K. Leung, Adam G.M. Pazdor: A scalable algorithm for vertical mining of quantitative frequent patterns. IEEE ScalCom 2023 (6)
Elieser Capillar, Chowdhury Abdul Mumin Ishmam, Carson K. Leung, Adam G.M. Pazdor, Prabhanshu Shrivastava, Ngoc Bao Chau Truong: Bitwise vertical mining of minimal rare patterns. DaWaK 2023 (LNCS 14148): 135-141
Elieser Capillar, Chowdhury A.M. Ishmam, Carson Leung, Hoang Hai Nguyen, Adam G.M. Pazdor, Prabhanshu Shrivastava, Ngoc Bao Chau Truong: Item-oriented mining of rare patterns from big data applications and services. BigDAS 2023: 108-115
Katrina I. Dotzlaw, Ryan E. Dotzlaw, Carson K. Leung, Adam G.M. Pazdor, Sean A. Szturm, Da Tan: Data analytics and prediction of long COVID cases with fuzzy logic. FUZZ-IEEE 2023 (6)
Da Tan, Carson K. Leung, Katrina I. Dotzlaw, Ryan E. Dotzlaw, Adam G.M. Pazdor, Sean A. Szturm: A data science solution for analyzing long COVID cases. IEEE IRI 2023: 227-232
Shawn J. Lanting, Carson K. Leung, Khush Bhrugesh Patel, Sanskar Raval, Liza Yashin: A transportation analytic solution for predicting flight cancellations. IEEE IRI 2023: 248-253
Jasmin K. Dhaliwal, Megan E. Galbraith, Carson K. Leung, Da Tan: A data discovery and visualization tool for visual analytics of time series in digital agriculture. IV 2023: 268-271
Carson K. Leung, Mohammadafaz V. Munshi, Vrushil Kiritkumar Patel, Nhu Minh Ngoc Pham, Yixi Wu: Visual knowledge discovery from public bus performance data. IV 2023: 323-328
Connor C.J. Hryhoruk, Carson K. Leung: Mining sequential patterns with timelines from digital health data. IEEE ICDH 2023: 292-294
Anifat M. Olawoyin, Carson K. Leung, Alfredo Cuzzocrea: Evolution of big data models from hierarchical models to knowledge graphs. IEEE COMPSAC 2023: 1325-1330
Anifat M. Olawoyin, Carson K. Leung, Alfredo Cuzzocrea: Privacy preservation of big spatio-temporal co-occurrence data. IEEE COMPSAC 2023: 1331-1336 [BigData22]
Daryl Fung, Xu Li, Carson Leung, Pingzhao Hu: A self-knowledge distillation-driven CNN-LSTM model for predicting disease outcomes using longitudinal microbiome data. Bioinformatics Advances 3(1): vbad059:1-vbad059:10 (2023) [ISCB-LA SOIBIO BioNetMX22]
Ronnie R. D'Souza, Kirat Gill, Carson K. Leung, Shahzaib Ahmed Paracha, Adam G.M. Pazdor, Gurman Toor: Discovery of patent influence with directed acyclic graph network analysis. IDEAS 2023: 17-24
Colin N. Johnson, Jay Khakhariya, Carson K. Leung, Adam G.M. Pazdor, Steven J. Peters, Aaron M. Salo: Mining popular trends from TED Talk data. IEEE ICIT 2023 (6)
Katrina I. Dotzlaw, Ryan E. Dotzlaw, Carson K. Leung, Adam G.M. Pazdor, Sean A. Szturm, Da Tan: Mining big healthcare data to predict long COVID cases. IEEE ICIT 2023 (6)
Carson K. Leung: Big data mining and analytics with MapReduce. Encyclopedia of Data Science and Machine Learning: 156-172 (ch. 10) (2023) [IGI Global]
Carson K. Leung: Big data visualization of association rules and frequent patterns. Encyclopedia of Data Science and Machine Learning: 1284-1298 (ch. 75) (2023) [IGI Global]
Anifat M. Olawoyin, Carson K. Leung, Connor C.J. Hryhoruk, Alfredo Cuzzocrea: Big data management for machine learning from big data. AINA 2023, vol. 1 (LNNS 661): 393-405
Antony Anuraj, Gurtej S. Boparai, Carson K. Leung, Evan W. R. Madill, Darshan A. Pandhi, Ayush Dilipkumar Patel, Ronak K. Vyas: Sports data mining for cricket match prediction. AINA 2023, vol. 3 (LNNS 655): 668-680
Md Sahidul Islam, Pankaj Chandra Kar, Md Samiullah, Chowdhury Farhan Ahmed, Carson Kai-Sang Leung: Discovering probabilistically weighted sequential patterns in uncertain databases. Applied Intelligence 53(6): 6525-6553 (March 2023)
Md. Tanvir Alam, Amit Roy, Chowdhury Farhan Ahmed, Md. Ashraful Islam, Carson K. Leung: UGMINE: utility-based graph mining. Applied Intelligence 53(1): 49-68 (January 2023)
2022
Marcello Nesca, Alan Katz, Carson K. Leung, Lisa M. Lix: A scoping review of preprocessing methods for unstructured text data to assess data quality. International Journal of Population Data Science (IJPDS) 1(7): 19:1-19:5 (2022)
Anifat M. Olawoyin, Carson K. Leung: Preserving privacy integration and mining for big temporal co-occurrence patterns. IEEE BigData (U2BigData) 2022: 3959-3968
Mst Shapna Akter, Hossain Shahriar, Alfredo Cuzzocrea, Nova Ahmed, Carson Leung: Handwritten word recognition using deep learning approach: a novel way of generating handwritten words. IEEE BigData (MLBD) 2022: 5414-5423
Sukhmandeep Kaur, Nikola N. Kokilev, Michael R. Kuzie, Carson K. Leung, Ben Nguyen, Adam G.M. Pazdor, Mark J.D. Shinnie: A big data science solution for transportation analytics with meteorological data. IEEE BigDataSE 2022: 21-28
Carson K. Leung, Evan W.R. Madill, Nguyen Duy Thong Tran, Christine Y. Zhang: Health informatics on big COVID-19 pandemic data via N-shot learning. IEEE BIBM 2022: 2784-2791
Connor C.J. Hryhoruk, Carson K. Leung: Mining from interpretable compressed representation of sparse web. IEEE/WIC/ACM WI-IAT 2022: 620-627
Adam G.M. Pazdor, Carson K. Leung, Thomas J. Czubryt, Junyi Lu, Sanskar Raval, Denys Popov: Social network analysis of popular YouTube videos via vertical quantitative mining. IEEE/ACM ASONAM (FAB) 2022: 303-307
Connor C.J. Hryhoruk, Carson K. Leung: Social network analysis on interpretable compressed sparse networks. IEEE/ACM ASONAM (FAB) 2022: 324-331
Carson K. Leung, Evan W.R. Madill, Nguyen Duy Thong (Jase) Tran: Prediction of hospital status of COVID-19 patients from e-health records. IEEE HealthCom 2022: 19-24
Bikramjit Singh Dhaliwal, Rayan Imran, Carson K. Leung, Evan W.R. Madill: Trustworthy explanations for knowledge discovered from e-health records. IEEE HealthCom 2022: 246-251
Fahim Faisal, Noman Mohammed, Carson K. Leung, Yang Wang: Generating privacy preserving synthetic medical data. IEEE DSAA 2022: 1003-1012
Alfredo Cuzzocrea, Carson Leung, Carmine Gallo, Selim Soufargi, Siyuan Shang, Yubo Chen: OLAP over big COVID-19 Data: a real-life case study. IEEE DASC-PiCom-CBDCom-CyberSciTech (CBDCom) 2022: 1110-1115 [BigData20] [toc]
Alfredo Cuzzocrea, Carson K. Leung, Mojtaba Hajian, Marshall D. Jackson: Effectively and efficiently supporting predictive big data analytics over open big data in the transportation sector: a Bayesian network framework. IEEE DASC-PiCom-CBDCom-CyberSciTech (CBDCom) 2022: 1116-1123 [COMPSAC21]
Carson K. Leung: Big data analytics on COVID-19 epidemiological data. NBiS 2022 (LNNS 526): xxi
Carson K. Leung: Big data analytics on COVID-19 epidemiological data. INCoS 2022 (LNNS 527): xxi
Deyu Deng, Carson K. Leung, Adam G.M. Pazdor: Data analytics for parking facility management. INCoS 2022 (LNNS 527): 117-129
Alfredo Cuzzocrea, Carson K. Leung, Selim Soufargi, Anifat M. Olawoyin: The emerging challenges of big data lakes, and a real-life framework for representing, managing and supporting machine learning on big Arctic data. INCoS 2022 (LNNS 527): 161-174 [BigData21]
Thomas J. Czubryt, Carson K. Leung, Adam G.M. Pazdor: Q-Eclat: vertical mining of interesting quantitative patterns. IDEAS 2022: 25-33
Thomas J. Czubryt, Carson K. Leung, Adam G.M. Pazdor: Q-VIPER: quantitative vertical bitwise algorithm to mine frequent patterns. DaWaK 2022 (LNCS 13428): 219-233
Evan W. Madill, Carson K. Leung, Justin M. Gouge: Enhanced sliding window-based periodic pattern mining from dynamic streams. DaWaK 2022 (LNCS 13428): 234-240
Paul O. Brown, Meng Ching Chiang, Shiqing Guo, Yingzi Jin, Carson K. Leung, Evan L. Murray, Adam G.M. Pazdor, Alfredo Cuzzocrea: Mahalanobis distance based k-means clustering. DaWaK 2022 (LNCS 13428): 256-262
Kwan-Hee Yoo, Carson K. Leung, Aziz Nasridinov: Big data analysis and visualization: challenges and solutions. Applied Sciences 12(16): 8248:1-8248:5 (August 2022)
Judah Zammit, Daryl L.X. Fung, Qian Liu, Carson Kai-Sang Leung, Pingzhao Hu: Semi-supervised COVID-19 CT image segmentation using deep generative models. BMC Bioinformatics 23 (Supplement 7): 343:1-343:15 (2022) [APBC22] [dataset, GitHub, suppl PDF]
Michael Kolisnyk, Matthew R. Kwiatkowski, Carson K. Leung, Benjamin J. Zacharias: Analysis of multi-dimensional road accident data for disaster management in smart cities. IEEE IRI 2022: 43-48 Best Paper of IEEE IRI 2022
Juhee Kim, Carson K. Leung, Nguyen Duy Thong (Jase) Tran, Tanisha Turner: A regression-based data science solution for transportation analytics. IEEE IRI 2022: 55-60
Carson K. Leung, Thanh Huy Daniel Mai, Nguyen Duy Thong (Jase) Tran: Deep learning based multi-label prediction of hospitalization for COVID-19 cases. IEEE CBMS 2022: 96-101
Calvin S.H. Hoi, Carson K. Leung, Adam G.M. Pazdor: Data, information and knowledge visualization for frequent patterns. IV 2022: 227-232
Carson K. Leung, Evan W.R. Madill, Adam G.M. Pazdor: Visualization and visual knowledge discovery from big uncertain data. IV 2022: 336-341
Yidong Wei, Carson K. Leung, Cheng Li: A rough set system for mining from streaming data. FUZZ-IEEE 2022: 289-296 [toc]
Nguyen Duy Thong (Jason) Tran, Carson K. Leung, Tanisha Turner, S. Tommy Wu, Nurida Karimbaeva, Juhee Kim, Alfredo Cuzzocrea: Transportation analytics with fuzzy logic and regression. FUZZ-IEEE 2022: 297-304
Matthew R. Kwiatkowski, Benjamin J. Zacharias, Carson K. Leung, PokYee (Joey) Tsu, Joshua M. Thomas, Michael Kolisnyk, Alfredo Cuzzocrea: A fuzzy-logic based multi-dimensional analysis of traffic incident data. FUZZ-IEEE 2022: 305-312
Alfredo Cuzzocrea, Majid Abbasi Sisara, Carson K. Leung, Yan Wen, Fan Jiang: Effectively and efficiently supporting visual big data analytics over big sequential data: an innovative data science approach. ICSSA 2022, Part II (LNCS 13376): 113-125 [IV21]
Adam B. Bouttell, Sijin Lee, Carson K. Leung, Martin J. Levesque, Seunggon Son, Weihong Zhang, Alfredo Cuzzocrea: Predictive analytics for supporting environmental sustainability and disaster management. IEEE COMPSAC (DBDM) 2022: 1256-1261
Kyle R. Boch, Freyja C. Kristjanson, Carson K. Leung, Yu Liu, Andrea M. Unrau, Shuai April Zhang, Alfredo Cuzzocrea: Mining popular topics from the media. IEEE COMPSAC (DBDM) 2022: 1262-1267
Ben Nguyen, Mark J.D. Shinnie, Carson K. Leung, Michael R. Kuzie, Nikola N. Kokilev, Sukhmandeep Kaur: A data science solution for mining weather data and transportation data for smart cities. IEEE COMPSAC (SSMLS) 2022: 1672-1677
Nguyen Duy Thong Tran, Carson K. Leung, Evan W.R. Madill, PHAN Thai Binh: A deep learning based predictive model for healthcare analytics. IEEE ICHI 2022: 547-549
Carson K. Leung, Evan W.R. Madill, Joglas Souza, Christine Y. Zhang: Towards trustworthy artificial intelligence in healthcare. IEEE ICHI 2022: 626-632
Barret A. Monchka, Carson K. Leung, Nathan C. Nickel, Lisa M. Lix: The effect of disease co-occurrence measurement on multimorbidity networks: a population-based study. BMC Medical Research Methodology 22: 165:1-165:16 (2022) [suppl docx]
Evan Madill, Ben Nguyen, Carson K. Leung, Sara Rouhan: ScaleSFL: a sharding solution for blockchain-based federated learning. ACM BSCI 2022: 95-106 [arXiv/CoRR:2204.01202] Best Student Paper of ACM BSCI 2022
Kritbodin Phiwhorm, Charnnarong Saikaew, Carson K. Leung, Pattarawit Polpinit, Kanda Runapongsa Saikaew: Adaptive multiple imputations of missing values using the class center. Journal of Big Data 9: 52:1-52:25 (2022)
Bamibo C. Isichei, Carson K. Leung, Lam Thu Nguyen, Luke B. Morrow, Anh Tuan Ngo, Trang Doan Pham, Alfredo Cuzzocrea: Sports data management, mining, and visualization. AINA 2022, vol. 2 (LNNS 450): 141-153
Renz M. Cabusas, Brenna N. Epp, Justin M. Gouge, Tyson N. Kaufmann, Carson K. Leung, James R.A. Tully: Mining for fake news. AINA 2022, vol. 2 (LNNS 450): 154-166
Mohammad Ehsan Shahmi Chowdhury, Chowdhury Farhan Ahmed, Carson K. Leung: A new approach for mining correlated frequent subgraphs. ACM Transactions on Management Information Systems (TMIS) 13(1), special issue on pattern-driven mining, analytics and prediction for decision making: 9:1-9:28 (March 2022)
Herwig Unger, Young-Kuk Kim, Eenjun Hwang, Sung-Bae Cho, Stephan Pareigis, Kyamakya Kyandoghere, Young-guk Ha, Jinho Kim, Atsuyuki Morishima, Christian Wagner, Hyuk-Yoon Kwon, Yang-Sae Moon, Carson Leung (eds.): Proceedings of the 2022 IEEE International Conference on Big Data and Smart Computing (BigComp 2022), Daegu, South Korea, January 17-20, 2022, IEEE Press, ISBN 978-1-6654-2197-3
Ryan Froese, James W. Klassen, Carson K. Leung, Tyler S. Loewen: The border k-means clustering algorithm for one dimensional data. IEEE BigComp 2022: 35-42 Second runner-up for the Best Paper of IEEE BigComp 2022
Md. Fahim Arefin, Chowdhury Farhan Ahmed, Redwan Ahmed Rizvee, Carson K. Leung, Longbing Cao: Mining contextual item similarity without concept hierarchy. IMCOM 2022: 229-236 [toc]
Joshua F. Smallwood, Chenru Zhao, Carson K. Leung, Yan Wen, Hao Zheng: Mining the impacts of COVID-19 pandemic on the labour market. IMCOM 2022: 337-344
Kashob Kumar Roy, Md Hasibul Haque Moon, Md Mahmudur Rahman, Chowdhury Farhan Ahmed, Carson Kai-Sang Leung: Mining weighted sequential patterns in incremental uncertain databases. Information Sciences 582: 865-896 (January 2022)
Animesh Singh Chauhan, Alfredo Cuzzocrea, Lihe Fan, James D. Harvey, Carson K. Leung, Adam G.M. Pazdor, Tianlei Wang: Predictive big data analytics for service requests: a framework. Procedia Computer Science 198, special issue of EUSPN 2021: 102-111 (2022) [COMPSAC20]
Alfredo Cuzzocrea, Carson K. Leung, Anifat M. Olawoyin, Edoardo Fadda: Supporting privacy-preserving big data analytics on temporal open big data. Procedia Computer Science 198, special issue of EUSPN 2021: 112-121 (2022) [BigData20]
Carson K. Leung: Big data analytics and mining for knowledge discovery. Research Anthology on Big Data Analytics, Architectures, and Applications (Vol. II): 708-721 (ch. 33) (2022) ISBN 978-1-6684-3662-2 [IGI Global]
Oluwafemi A. Sarumi, Carson K. Leung: Adaptive machine learning algorithm and analytics of big genomic data for gene prediction. Tracking and Preventing Diseases with Artificial Intelligence (ISRL 206): 103-123 (2022) [MySpringer]
Sabrina Zaman Ishita, Chowdhury Farhan Ahmed, Carson K. Leung: New approaches for mining regular high utility sequential patterns. Applied Intelligence 52: 3781-3806 (2022)
2021
Anifat M. Olawoyin, Carson K. Leung, Qi Wen: Privacy preservation of COVID-19 contact tracing data. IUCC-CIT-DSCI-SmartCNS (CIT) 2021: 288-295
Carson K. Leung, Qi Wen, Chenru Zhao: Big data mining on health informatic data for cities. IEEE HPCC-DSS-SmartCity-DependSys (SmartCity) 2021: 1721-1728
Anifat M. Olawoyin, Carson K. Leung, Alfredo Cuzzocrea: Open data lake to support machine learning on Arctic big data. IEEE BigData (MLBD) 2021: 5215-5224
Anifat M. Olawoyin, Carson K. Leung, Alfredo Cuzzocrea: Privacy-preserving publishing and visualization of spatial-temporal information. IEEE BigData (PSBD) 2021: 5420-5429
Connor C.J. Hryhoruk, Carson K. Leung: Interpretable mining of influential patterns from sparse web. IEEE/WIC/ACM WI-IAT 2021: 532-537
Carson K. Leung, Evan W.R. Madill, Sehaj P. Singh: A web intelligence solution to support recommendations from the web. IEEE/WIC/ACM WI-IAT 2021 Companion: 160-167
Nguyen Duy Thong Tran, Carson K. Leung, Daryl L.X. Fung, Thanh Huy Daniel Mai: Health analytics on big COVID-19 data. IEEE BIBM 2021: 1395 (4)
Md. Tanvir Alam, Amit Roy, Chowdhury Farhan Ahmed, Md. Ashraful Islam, Carson K. Leung: Mining high utility subgraphs. IEEE ICDM Workshops (UDML) 2021: 566-573
Riddho Ridwanul Haque, Chowdhury Farhan Ahmed, Md. Samiullah, Carson K. Leung: UFreS: a new technique for discovering frequent subgraph patterns in uncertain graph databases. IEEE ICBK 2021: 253-260
Jeong-Hun Kim, Jong-Hyeok Choi, Young-Ho Park, Carson Kai-Sang Leung, Aziz Nasridinov: KNN-SC: novel spectral clustering algorithm using k-nearest neighbors. IEEE Access 9: 152616-152627 (2021)
Carson K. Leung, Chenru Zhao, Hao Zheng: Smart data analytics on COVID-19 data. IEEE iThings-GreenCom-CPSCom-SmartData-Cybermatics (SmartData) 2021: 372-379 Best Paper of IEEE SmartData 2021
Connor C.J. Hryhoruk, Carson K. Leung: Compressing and mining social network data. IEEE/ACM ASONAM (FAB) 2021: 545-552
Carson K. Leung, Sehaj P. Singh: A mathematical model for friend discovery from dynamic social graphs. IEEE/ACM ASONAM (FAB) 2021: 569-576
Chenru Zhao, Carson K. Leung, Adam G.M. Pazdor, Qi Wen: Analyzing COVID-19 epidemiological data. IEEE DASC-PICom-CBDCom-CyberSciTech (IEEE CyberSciTech) 2021: 985-990
Carson K. Leung, Thanh Huy Daniel Mai, Nguyen Duy Thong Tran, Christine Y. Zhang: Predictive analytics to support health informatics on COVID-19 data. IEEE BIBE 2021: 288-296
Carson K. Leung, Chenru Zhao: Big data intelligence solution for health analytics of COVID-19 data with spatial hierarchy. IEEE DataCom 2021: 13-20 Best Paper of IEEE DataCom 2021
Deyu Deng, Carson K. Leung, Chenru Zhao, Yan Wen, Hao Zheng: Spatial-temporal data science of COVID-19 data. IEEE BigDataSE 2021: 7-14
Carson K. Leung, Adam G.M. Pazdor, Hao Zheng: Scalable mining of big data. IEEE SmartWorld (ScalCom) 2021: 240-247
Connor C.J. Hryhoruk, Carson K. Leung, Yan Wen, Hao Zheng: Smart city transportation data analytics with conceptual models and knowledge graphs. IEEE SmartWorld (SCI) 2021: 455-462
Carson K. Leung, Adam G.M. Pazdor, Joglas Souza: Explainable artificial intelligence for data science on customer churn. IEEE DSAA 2021: 235-244
Daryl L.X. Fung, Qian Liu, Judah Zammit, Carson Kai-Sang Leung, Pingzhao Hu: Self-supervised deep learning model for COVID-19 lung CT image segmentation highlighting putative causal relationship among age, underlying disease and COVID-19. BMC Journal of Translational Medicine 19: 318:1-318:18 (2021) [GitHub, suppl PDF]
Carson K. Leung, Daryl L.X. Fung, Calvin S.H. Hoi: Health analytics on COVID-19 data with few-shot learning. DaWaK 2021 (LNCS 12925): 67-80
Carson K. Leung, Daryl L.X. Fung, Thanh Huy Daniel Mai, Joglas Souza, Nguyen Duy Thong Tran: A digital health system for disease analytics. IEEE ICDH 2021: 70-79
Alfredo Cuzzocrea, Enzo Mumolo, Edoardo Fadda, Selim Soufargi, Carson K. Leung: Non-linear analytic prediction of IP addresses for supporting cyber attack detection and analysis. SEBD 2021 (CEUR-WS 2994): 13-23 [CEUR-WS]
Edoardo Serra, Mikel Joaristi, Alfredo Cuzzocrea, Selim Soufargi, Carson K. Leung: An effective and efficient graph representation learning approach for big graphs. SEBD 2021 (CEUR-WS 2994): 140-149 [CEUR-WS]
Carson K. Leung, Tyson N. Kaufmann, Yan Wen, Chenru Zhao, Hao Zheng: Revealing COVID-19 data by data mining and visualization. INCoS 2021 (LNNS 312): 70-83
Alfredo Cuzzocrea, Carson K. Leung, S. Sourav, Bryan H. Wodi: An effective and efficient framework for fast privacy-preserving keyword search on encrypted outsourced cloud data. JUSPN 15(2): 43-53 (2021)
Joglas Souza, Carson K. Leung: Explainable intelligence for predictive analytics on customer turnover. Explainable Artificial Intelligence within the context of Digital Transformation and Cyber Physical Systems: ch. 4 (47-67) (2021)
Carson K. Leung, Anifat M. Olawoyin, Qi Wen: Privacy-preserving healthcare analytics of trajectory data. APWeb-WAIM 2021, Part II (LNCS 12859): 414-420
Daryl L.X. Fung, Calvin S.H. Hoi, Carson K. Leung, Christine Y. Zhang: Predictive analytics of COVID-19 with neural networks. IJCNN 2021: 9071-9078
Carson K. Leung, Daryl L.X. Fung, Thanh Huy Daniel Mai, Joglas Souza, Nguyen Duy Thong Tran, Qi Wen: Explainable data analytics for disease and healthcare informatics. IDEAS 2021: 12:1-12:10 (pp. 65-74)
Marshall D. Jackson, Carson K. Leung, M. Diarra B. Mbacke, Alfredo Cuzzocrea: A Bayesian framework for supporting predictive analytics over big transportation data. IEEE COMPSAC 2021: 332-337 [video]
Yubo Chen, Carson K. Leung, Hao Li, Siyuan Shang, Wanmeng Wang, Zhi Zheng: A data science solution for supporting social and economic analysis. IEEE COMPSAC 2021: 1689-1694 [video]
Tianlei Wang, James D. Harvey, Carson K. Leung, Adam G.M. Pazdor, Animesh Singh Chauhan, Lihe Fan, Alfredo Cuzzocrea: Distributed big data computing for supporting predictive analytics of service requests. IEEE COMPSAC 2021: 1723-1728 [video]
Carson K. Leung, Yan Wen, Chenru Zhao, Hao Zheng, Fan Jiang, Alfredo Cuzzocrea: A visual data science solution for visualization and visual analytics of big sequential data. IV 2021: 224-229
Isabelle M. Anderson-Grégoire, Kaitlyn A. Horner, Carson K. Leung, Delica S. Leboe-McGowan, Anifat M. Olawoyin, Beni Reydman, Alfredo Cuzzocrea: A big data science solution for analytics on moving objects. AINA 2021, vol. 2 (LNNS 226): 133-145 [MySpringer]
Md. Tanvir Alam, Chowdhury Farhan Ahmed, Md Samiullah, Carson K. Leung: Mining frequent patterns from hypergraph databases. PAKDD 2021, Part II (LNCS/LNAI 12713): 3-15
Md. Tanvir Alam, Chowdhury Farhan Ahmed, Md Samiullah, Carson K. Leung: Discriminating frequent pattern based supervised graph embedding for classification. PAKDD 2021, Part II (LNCS/LNAI 12713): 16-28
Kashob Kumar Roy, Md Hasibul Haque Moon, Md Mahmudur Rahman, Chowdhury Farhan Ahmed, Carson K. Leung: Mining sequential patterns in uncertain databases using hierarchical index structure. PAKDD 2021, Part II (LNCS/LNAI 12713): 29-41
Carson Leung: AI-based sensor information fusion. Encyclopedia
Herwig Unger, Jinho Kim, U Kang, Chakchai So-In, Junping Du, Walid Saad, Young-guk Ha, Christian Wagner, Julien Bourgeois, Chanboon Sathitwiriyawong, Hyuk-Yoon Kwon, Carson Leung (eds.): Proceedings of the 2021 IEEE International Conference on Big Data and Smart Computing (BigComp 2021), Jeju Island, South Korea, January 17-20, 2021, IEEE Press, ISBN 978-1-7281-8924-6
Carson K. Leung, Yan Wen, Hao Zheng: Conceptual modeling and smart computing for big transportation data. IEEE BigComp 2021: 260-267
Christian M. Choy, M. Kiefer Co, Matthew J. Fogel, Clarke D. Garrioch, Carson K. Leung, Ekaterina Martchenko: Natural sciences meet social sciences: census data analytics for detecting home language shifts. IMCOM 2021: 520-527 [toc]
Carson K. Leung, Fan Jiang, Yibin Zhang: Efficient and flexible compression of very sparse networks of big data. Big Data and Social Media Analytics (LNSN): 167-195 (2021) [EB-ASONAM-2019]
Carson K. Leung: Big data analytics and mining for knowledge discovery. Encyclopedia of Organizational Knowledge, Administration, and Technology (Vol. IV): 1817-1830 (ch. 125) (2021) ISBN 978-1-79983-473-1 [IGI Global]
Wookey Lee, Carson K. Leung, Aziz Nasridinov (eds.): Big Data Analyses, Services, and Smart Data. Springer Singapore (2021) ISBN 978-981-15-8731-3
Carson K. Leung: Big data computing and mining in a smart world. Big Data Analyses, Services, and Smart Data (AISC 899): 15-27 (2021)
Carson K. Leung: Data science for big data applications and services: data lake management, data analytics and visualization. Big Data Analyses, Services, and Smart Data (AISC 899): 28-44 (2021)
Pranjal Gupta, Calvin S.H. Hoi, Carson K. Leung, Ye Yuan, Xiaoke Zhang, Zhida Zhang: Vertical data mining from relational data and its application to COVID-19 data. Big Data Analyses, Services, and Smart Data (AISC 899): 106-116 (2021)
2020
Carson K. Leung, Yubo Chen, Siyuan Shang, Deyu Deng: Big data science on COVID-19 data. IEEE BigDataSE 2020: 14-21
Joshua D. Hamilton, Carson K. Leung, Sehaj P. Singh: Identifying the right person in social networks with double metaphone codes. IEEE ISPA-BDCloud-SocialCom-SustainCom (IEEE SocialCom) 2020: 794-801
Yubo Chen, Carson K. Leung, Siyuan Shang, Qi Wen: Temporal data analytics on COVID-19 data with ubiquitous computing. IEEE ISPA-BDCloud-SocialCom-SustainCom (IUCC) 2020: 958-965
Carson K. Leung, Oluwafemi A. Sarumi, Christine Y. Zhang: Predictive analytics on genomic data with high-performance computing. IEEE BIBM 2020: 2187-2194
Sehaj Pal Singh, Carson K. Leung, Joshua D. Hamilton: Analytics of similar-sounding names from the web with phonetic based clustering. IEEE/WIC/ACM WI-IAT 2020: 580-585
Carson K. Leung, Fan Jiang, Yibin Zhang: Explainable machine learning and mining of influential patterns from sparse web. IEEE/WIC/ACM WI-IAT 2020: 829-836
Calvin S.H. Hoi, Carson K. Leung, Joglas Souza: Prediction of food preparation time for smart city. IEEE HPCC-SmartCity-DSS (IEEE SmartCity) 2020: 1203-1210
Siyuan Shang, Yubo Chen, Carson K. Leung, Adam G.M. Pazdor: Spatial data science of COVID-19 data. IEEE HPCC-SmartCity-DSS (IEEE DSS) 2020: 1370-1375
Anifat M. Olawoyin, Carson K. Leung, Alfredo Cuzzocrea: Preserving privacy of temporal big data. IEEE BigData 2020: 4042-4051
Carson K. Leung, Yubo Chen, Calvin S.H. Hoi, Siyuan Shang, Alfredo Cuzzocrea: Machine learning and OLAP on big COVID-19 data. IEEE BigData 2020: 5118-5127
Carson K. Leung, Yibin Zhang, Fan Jiang: Compression for very sparse big social data. IEEE/ACM ASONAM (FAB) 2020: 659-666
Sehaj P. Singh, Carson K. Leung: A theoretical approach for discovery of friends from directed social graphs. IEEE/ACM ASONAM (FAB) 2020: 697-701
Qian Liu, Carson K. Leung, Pingzhao Hu: A two-dimensional sparse matrix profile DenseNet for COVID-19 diagnosis using chest CT images. IEEE Access 8: 213718-213728 (2020)
Borin Min, Hyoseok Oh, Ga-Ae Ryu, Sang Hyun Choi, Carson Kai-Sang Leung, Kwan-Hee Yoo: Image classification for agricultural products using transfer learning. BigDAS 2020: 48-52
Alfredo Cuzzocrea, Carson K. Leung, Deyu Deng, Jiaxing Jason Mai, Fan Jiang, Edoardo Fadda: A combined deep-learning and transfer-learning approach for supporting social influence prediction. Procedia Computer Science 177, special issue of EUSPN 2020: 170-177 (2020) [BigData19]
Alfredo Cuzzocrea, Carson K. Leung, Bryan H. Wodi, S. Sourav, Edoardo Fadda: An effective and efficient technique for supporting privacy-preserving keyword-based search over encrypted data in clouds. Procedia Computer Science 177, special issue of EUSPN (EICN) 2020: 509-515 (2020) [BigData19]
Kevin Hoang, Carson K. Leung, Matthew R. Spelchak, Bonnie Tang, Duncan P. Taylor-Quiring, Nicholas J. Wiebe: Cognitive and predictive analytics on big open data. ICCC 2020 (LNCS 12408): 88-104
Paul Patrick F. Balbin, Jackson C.R. Barker, Carson K. Leung, Marvin Tran, Riley P. Wall, Alfredo Cuzzocrea: Predictive analytics on open big data for supporting smart transportation services. Procedia Computer Science 176, special issue of KES 2020: 3009-3018 (2020)
Anifat M. Olawoyin, Carson K. Leung, Ratna Choudhury: Privacy-preserving spatio-temporal patient data publishing. DEXA 2020, Part II (LNCS 12392): 407-416
Carson K. Leung, Yubo Chen, Calvin S.H. Hoi, Siyuan Shang, Yan Wen, Alfredo Cuzzocrea: Big data visualization and visual analytics of COVID-19 data. IV 2020: 415-420
Carson K. Leung, Yubo Chen, Siyuan Shang, Yan Wen, Connor C.J. Hryhoruk, Denis L. Levesque, Nicholas A. Braun, Nitya Seth, Prakhar Jain: Data mining on open public transit data for transportation analytics during pre-COVID-19 era and COVID-19 era. INCoS 2020 (AISC 1263): 133-144
Carson K. Leung, Daryl L.X. Fung, Saad B. Mushtaq, Owen T. Leduchowski, Robert Luc Bouchard, Hui Jin, Alfredo Cuzzocrea, Christine Y. Zhang: Data science for healthcare predictive analytics. IDEAS 2020: 8:1-8:10 (pp. 55-64)
Carson K. Leung, Jonathan D. Elias, Shael M. Minuk, A. Roy R. de Jesus, Alfredo Cuzzocrea: An innovative fuzzy logic-based machine learning algorithm for supporting predictive analytics on big transportation data. FUZZ-IEEE 2020: 1905-1912 [toc]
Chris Soo-Hyun Eom, Charles Cheolgi Lee, Wookey Lee, Carson K. Leung: Effective privacy preserving data publishing by vectorization. Information Sciences 527, special section on privacy computing: principles and applications: 311-328 (July 2020)
Tomasz Pawliszak, Meghan Chua, Carson K. Leung, Olivier Tremblay-Savard: Operon-based approach for the inference of rRNA and tRNA evolutionary histories in bacteria. BMC Genomics 21 (Supplement 2): 252:1-252:14 (2020) [RECOMB-CG 2019] [suppl PDF]
Joglas Souza, Carson K. Leung, Alfredo Cuzzocrea: An innovative big data predictive analytics framework over hybrid big data sources with an application for disease analytics. AINA 2020 (AISC 1151): 669-680
Monica Mai, Carson K. Leung, Justin M.C. Choi, Long Kei Ronnie Kwan: Big data analytics of Twitter data and its application for physician assistants: who is talking about your profession in Twitter? Data Management and Analysis (Studies in Big Data (SBD) 65): 17-32 (2020) [BIDMA18]
2019
Deyu Deng, Jiaxing Jason Mai, Carson K. Leung, Alfredo Cuzzocrea: Cognitive-based hybrid collaborative filtering with rating scaling on entropy to defend shilling influence. ICNCC 2019: 176-185
Carson K. Leung, Alfredo Cuzzocrea, Jiaxing Jason Mai, Deyu Deng, Fan Jiang: Personalized DeepInf: enhanced social influence prediction with deep learning and transfer learning. IEEE BigData 2019: 2871-2880
Oluwafemi A. Sarumi, Carson K. Leung: Exploiting anti-monotonic constraints for mining palindromic motifs from big genomic data. IEEE BigData 2019: 4864-4873
Bryan H. Wodi, Carson K. Leung, Alfredo Cuzzocrea, S. Sourav: Fast privacy-preserving keyword search on encrypted outsourced data. IEEE BigData 2019: 6266-6275
Sehaj Pal Singh, Carson K. Leung, Fan Jiang, Alfredo Cuzzocrea: A theoretical approach to discover mutual friendships from social graph networks. iiWAS 2019: 212-221
Carson Leung, Wookey Lee, Justin JongSu Song: Information technology-based patent retrieval model. Springer Handbook of Science and Technology Indicators: 859-874 (ch. 34) (2019)
Alfredo Cuzzocrea, Enzo Mumolo, Carson K. Leung, Giorgio Mario Grasso: An innovative deep-learning algorithm for supporting the approximate classification of workloads in big data environments. IDEAL 2019, Part II (LNCS 11872): 225-237
Radwa M. Abdalaal, Carl Ngai Man Ho, Carson K. Leung, Henry S.H. Chung: A remotely central dimming system for a large-scale LED lighting network providing high quality voltage and current. IEEE Transactions on Industry Applications 55(5): 5455-5465 (Sept/Oct 2019)
Prawit Buayai, Kullapapruk Piewthongngam, Carson K. Leung, Kanda Runapongsa Saikaew: Semi-automatic pig weight estimation using digital image analysis. Applied Engineering in Agriculture 35(4): 521-534 (2019)
Carson Leung, Fan Jiang, Yibin Zhang: Flexible compression of big data. IEEE/ACM ASONAM (FAB) 2019: 741-748
Joseph De Guia, Madhavi Devaraj, Carson Leung: DeepGx: deep learning using gene expression for cancer classification. IEEE/ACM ASONAM (HI-BI-BI) 2019: 913-920
Carson K. Leung, Peter Braun, Calvin S.H. Hoi, Joglas Souza, Alfredo Cuzzocrea: Urban analytics of big transportation data for supporting smart cities. DaWaK 2019 (LNCS 11708): 24-33
Oluwafemi Sarumi, Carson Leung: Scalable data science and machine learning algorithm for gene prediction. BigDAS 2019: 118-126 Best Paper of BigDAS 2019
Carson K. Leung, Abhishek Kajal, Yeyoung Won, Justin M. C. Choi: Big data analytics for personalized recommendation systems. IEEE DASC-PiCom-CBDCom-CyberSciTech (IEEE CBDCom) 2019: 1060-1065
Umama Dewan, Chowdhury Farhan Ahmed, Carson K. Leung, Redwan Ahmed Rizvee, Deyu Deng, Joglas Souza: An efficient approach for mining weighted frequent patterns with dynamic weights. ICDM 2019: 13-27
Redwan Ahmed Rizvee, Md Shahadat Hossain Shahin, Chowdhury Farhan Ahmed, Carson K. Leung, Deyu Deng, Jiaxing Jason Mai: Sliding window based weighted periodic pattern mining over time series data. ICDM 2019: 118-132
Nahian Ashraf, Riddho Ridwanul Haque, Md. Ashraful Islam, Chowdhury Farhan Ahmed, Carson K. Leung, Jiaxing Jason Mai, Bryan H. Wodi: WeFreS: weighted frequent subgraph mining in a single large graph. ICDM 2019: 201-215
Carson K. Leung, Yibin Zhang, Calvin S.H. Hoi, Joglas Souza, Bryan H. Wodi: Big data analysis and services: visualization of smart data to support healthcare analytics. IEEE iThings-GreenCom-CPSCom-SmartData (IEEE SmartData) 2019: 1261-1268
Abdul-Rasheed A. Audu, Alfredo Cuzzocrea, Carson K. Leung, Keaton A. MacLeod, Nibrasul I. Ohin, Nadège C. Pulgar-Vidal: An intelligent predictive analytics system for transportation analytics on open data towards the development of a smart city. CISIS 2019 (AISC 993): 224-236
Carson K. Leung, Lucas B. Eckhardt, Amanjyot Singh Sainbhi, Cong Thanh Kevin Tran, Qi Wen, Wookey Lee: A flexible query answering system for movie analytics. FQAS 2019 (LNCS/LNAI 11529): 250-261
Junqiang Liu, Zhongmin Chang, Carson K.S. Leung, Raymond C.W. Wong, Yabo Xu, Rong Zhao: Efficient mining of extraordinary patterns by pruning and predicting. Expert Systems with Applications (ESWA) 125: 55-68 (July 2019)
Carson K. Leung, Yibin Zhang: An HSV-based visual analytic system for data science on music and beyond. International Journal of Art, Culture and Design Technologies (IJACDT) 8(1), special issue on some information visualisation techniques: 68-83 (art. 5) (January-June 2019) [IGI Global]
Seokjin Ahn, Stéfan V. Couture, Alfredo Cuzzocrea, Kevin Dam, Giorgio M. Grasso, Carson K. Leung, Kaleigh L. McCormick, Bryan H. Wodi: A fuzzy logic based machine learning tool for supporting big data business analytics in complex artificial intelligence environments. FUZZ-IEEE 2019: 1259-1264 [toc]
Carson K. Leung: Pattern mining for knowledge discovery. IDEAS 2019: 34:1-34:5 (pp. 287-291)
Peter Braun, Alfredo Cuzzocrea, Carson K. Leung, Adam G. M. Pazdor, Joglas Souza, Syed K. Tanbeer: Pattern mining from big IoT data with fog computing: models, issues, and research perspectives. IEEE/ACM CCGrid 2019: 854-891
(Hoi, Ohin): Exploration of big open data for prediction bus delay for smart city applications. BIDMA 2019
Md Mahmudur Rahman, Chowdhury Farhan Ahmed, Carson Kai-Sang Leung: Mining weighted frequent sequences in uncertain databases. Information Sciences 479: 76-100 (April 2019)
Carson K. Leung, Peter Braun, Alfredo Cuzzocrea: AI-based sensor information fusion for supporting deep supervised learning. Sensors 19(6), special issue on recent advances in artificial intelligence and deep learning for sensor information fusion: 1345:1-1345:12 (art. 1345) (March 2019)
Sabrina Zaman Ishita, Chowdhury Farhan Ahmed, Carson K. Leung, Calvin S.H. Hoi: Mining regular high utility sequential patterns in static and dynamic databases. IMCOM 2019 (AISC 935): 897-916
Jesan Ahammed Ovi, Chowdhury Farhan Ahmed, Carson K. Leung, Adam G. M. Pazdor: Mining weighted frequent patterns from uncertain data stream. IMCOM 2019 (AISC 935): 917-936
Fariha Moomtaheen Upoma, Salsabil Ahmed Khan, Chowdhury Farhan Ahmed, Tahira Alam, Sabit Anwar Zahin, Carson K. Leung: Discovering correlation in frequent subgraphs. IMCOM 2019 (AISC 935): 1045-1062
Carson K.-S. Leung: Big data analysis and mining. Advanced Methodologies and Technologies in Network Architecture, Mobile Computing, and Data Analytics (Vol. I): 15-27 (ch.2) (2019) ISBN 978-1-5225-7598-6 [IGI Global]
Ladjel Bellatreche, Carson Leung, Yinglong Xia, Didier Elbaz: Advances in cloud and big data computing. Concurrency and Computation: Practice and Experience 31(2), special issue of ACBDC (CBDCom) 2016: e5053:1-e5053:3 (January 2019)
Wookey Lee, Carson K. Leung (eds.): Big Data Applications and Services 2017: The 4th International Conference on Big Data Applications and Services (AISC 770), Springer Singapore (2019)
2018
Kyle J. Morris, Sean D. Egan, Jorell L. Linsangan, Carson K. Leung, Alfredo Cuzzocrea, Calvin S.H. Hoi: Token-based adaptive time-series prediction by ensembling linear and non-linear estimators: a machine learning approach for predictive analytics on big stock data. IEEE ICMLA 2018: 1486-1491
Carson K. Leung, Calvin S.H. Hoi, Adam G. M. Pazdor, Bryan H. Wodi, Alfredo Cuzzocrea: Privacy-preserving frequent pattern mining from big uncertain data. IEEE BigData 2018: 5101-5110
Carson K. Leung, Fan Jiang, Joglas Souza: Web page recommendation from sparse big web data. IEEE/WIC/ACM WI 2018: 592-597
Carson Kai-Sang Leung: Anti-monotone constraints. Encyclopedia of Database Systems, Second Edition: 121 (2018) ISBN 978-1-4614-8266-6
Carson Kai-Sang Leung: Convertible constraints. Encyclopedia of Database Systems, Second Edition: 632-633 (2018) ISBN 978-1-4614-8266-6
Carson Kai-Sang Leung: Frequent itemset mining with constraints. Encyclopedia of Database Systems, Second Edition: 1531-1536 (2018) ISBN 978-1-4614-8266-6
Carson Kai-Sang Leung: Monotone constraints. Encyclopedia of Database Systems, Second Edition: 2299 (2018) ISBN 978-1-4614-8266-6
Carson Kai-Sang Leung: Succinct constraints. Encyclopedia of Database Systems, Second Edition: 3838-3839 (2018) ISBN 978-1-4614-8266-6
Fan Jiang, Carson K. Leung, Ryan Middleton, Adam G. M. Pazdor: Big social data mining in a cloud computing environment. ICCBB 2018: 58-65
Anna Kobusinska, Carson Leung, Ching-Hsien Hsu, Raghavendra S, Victor Chang: Emerging trends, issues and challenges in Internet of Things, big data and cloud computing. Future Generation Computer Systems (FGCS) 87: 416-419 (October 2018)
Radwa M. Abdalaal, Carl Ngai Man Ho, Carson K. Leung, Nibrasul I. Ohin, Syed Habib Ur-Rehman: A remotely control dimming system for LED lamps with power factor correction. IEEE ECCE 2018: 4721-4727
Carson K. Leung, Peter Braun, Adam G. M. Pazdor: Effective classification of ground transportation modes for urban data mining in smart cities. DaWaK 2018 (LNCS 11031): 83-97
Carson K. Leung, Hao Zhang, Joglas Souza, Wookey Lee: Scalable vertical mining for big data analytics of frequent itemsets. DEXA 2018, Part I (LNCS 11029): 3-17
Oluwafemi A. Sarumi, Carson K. Leung, Adebayo O. Adetunmbi: Spark-based data analytics of sequence motifs in large omics data. Procedia Computer Science 126, special issue of KES 2018: 596-605 (2018)
Carson K. Leung, Felix Kanke, Alfredo Cuzzocrea: Data analytics on the board game Go for the discovery of interesting sequences of moves in joseki. Procedia Computer Science 126, special issue of KES 2018: 831-840 (2018)
Peter Braun, Alfredo Cuzzocrea, Carson K. Leung, Adam G.M. Pazdor, Joglas Souza: Item-centric mining of frequent patterns from big uncertain data. Procedia Computer Science 126, special issue of KES 2018: 1875-1884 (2018)
Chenxi Fan, Huizi Hao, Carson K. Leung, Leslie Yu Sun, Jennifer Tran: Social network mining for recommendation of friends based on music interests. IEEE/ACM ASONAM (FAB) 2018: 833-840
Carson K. Leung, Ryan Middleton, Adam G. M. Pazdor, Yeyoung Won: Mining 'following' patterns from big but sparsely distributed social network data. IEEE/ACM ASONAM (FAB) 2018: 916-919
Chris Soo-Hyun Eom, Wookey Lee, Carson Kai-Sang Leung: STDP: secure privacy-preserving trajectory data publishing. IEEE Cybermatics (IEEE SmartData) 2018: 892-899
Taylor S. Cox, Calvin S.H. Hoi, Carson K. Leung, Caden R. Marofke: An accurate model for hurricane trajectory prediction. IEEE COMPSAC 2018, Vol. 2: 534-539
Katrina E. Barkwell, Alfredo Cuzzocrea, Carson K. Leung, Ashley A. Ocran, Jennifer M. Sanderson, James Ayrton Stewart, Bryan H. Wodi: Big data visualisation and visual analytics for music data mining. IV 2018: 235-240
Richard C. Camara, Alfredo Cuzzocrea, Giorgio M. Grasso, Carson K. Leung, Steven B. Powell, Joglas Souza, Boyu Tang: Fuzzy logic-based data analytics on predicting the effect of hurricanes on the stock market. FUZZ-IEEE 2018: 576-583 [toc]
Deyu Deng, Carson K. Leung, Bryan H. Wodi, Jialiang Yu, Hao Zhang, Alfredo Cuzzocrea: An innovative framework for supporting cognitive-based big data analytics for frequent pattern mining. IEEE ICCC 2018: 49-56
Peter Braun, Alfredo Cuzzocrea, Carson K. Leung, Adam G. M. Pazdor, Syed K. Tanbeer, Giorgio Mario Grasso: An innovative framework for supporting frequent pattern mining problems in IoT environments. ICCSA 2018, Part V (LNCS/LNTCS 10964): 642-657
Calvin S.H. Hoi, Carson K. Leung, Kimberly Tran, Alfredo Cuzzocrea, Mario Bochicchio, Marco Simonetti: Supporting social information discovery from big uncertain social key-value data via graph-like metaphors. ICCC 2018 (LNCS/LNISA 10971): 102-116
Carson K. Leung: Mathematical model for propagation of influence in a social network. Encyclopedia of Social Network Analysis and Mining, Second Edition: 1261-1269 (2018) ISBN 978-1-4939-7130-5
Md. Ashraful Islam, Chowdhury Farhan Ahmed, Carson K. Leung, Calvin S.H. Hoi: WFSM-MaxPWS: an efficient approach for mining weighted frequent subgraphs from edge-weighted graph databases. PAKDD 2018, Part III (LNCS/LNAI 10939): 664-676
Long Kei Ronnie Kwan, Carson K. Leung, Monica Mai: Big data analytics of Twitter data and its application for physician assistants. BIDMA 2018
Carson K. Leung, Henry Bryan Wodi: Visual analytics of big data: visualizing popular patterns. BIDMA 2018
Md Mahmudur Rahman, Chowdhury Farhan Ahmed, Carson K. Leung, Adam G.M. Pazdor: Frequent sequence mining with weight constraints in uncertain databases. ACM IMCOM 2018: 48:1-48:8 (art. 48)
Carson K. Leung, Fan Jiang, Tik Wai Poon, Paul-Émile Crevier: Big data analytics of social network data: Who cares most about you on Facebook? Highlighting the Importance of Big Data Management and Analysis for Various Applications (Studies in Big Data (SBD) 27): 1-15 (2018) [BIDMA16] [MySpringer]
Carson K.-S. Leung: Big data analysis and mining. Encyclopedia of Information Science and Technology, Fourth Edition (Vol. I): 338-348 (ch.30) (2018) ISBN 978-1-5225-2255-3 [IGI Global]
2017
James A. Brown, Alfredo Cuzzocrea, Michael Kresta, Korbin D.L. Kristjanson, Carson K. Leung, Timothy W. Tebinka: A machine learning system for supporting advanced knowledge discovery from chess game data. IEEE ICMLA 2017: 649-654
Carson K. Leung, Deyu Deng, Calvin S.H. Hoi, Wookey Lee: Constrained big data mining in an edge computing environment. Big Data Applications and Services 2017 (AISC 770): 61-68 [5th BigDAS 2017]
Peter Braun, Alfredo Cuzzocrea, Lam M.V. Doan, Suyoung Kim, Carson K. Leung, Jose Francisco A. Matundan, Rashpal Robby Singh: Enhanced prediction of user-preferred YouTube videos based on cleaned viewing pattern history. Procedia Computer Science 112, special issue of KES 2017: 2230-2239
Peter Braun, Alfredo Cuzzocrea, Timothy D. Keding, Carson K. Leung, Adam G.M. Pazdor, Dell Sayson: Game data mining: clustering and visualization of online game data in cyber-physical worlds. Procedia Computer Science 112, special issue of KES 2017: 2259-2268
Peter Braun, Alfredo Cuzzocrea, Fan Jiang, Carson Kai-Sang Leung, Adam G. M. Pazdor: MapReduce-based complex big data analytics over uncertain and imprecise social networks. DaWaK 2017 (LNCS 10440): 130-145
Carson K. Leung, Fan Jiang, Adam G. M. Pazdor: Bitwise parallel association rule mining for web page recommendation. IEEE/WIC/ACM WI 2017: 662-669
Carson K. Leung: Mathematical model for propagation of influence in a social network. Encyclopedia of Social Network Analysis and Mining, Living Edition: (10 pages) (2017) ISBN 978-1-4614-7163-9
Calvin S.H. Hoi, Daniyal Khowaja, Carson K. Leung: Constrained frequent pattern mining from big data via crowdsourcing. Big Data Applications and Services 2017 (AISC 770): 69-79 [BigDAS 2017]
Carson K. Leung: Data and visual analytics for emerging databases. EDB 2017 (LNEE 461): 203-213
Karl E. Dierckens, Adrian B. Harrison, Carson K. Leung, Adrienne V. Pind: A data science and engineering solution for fast k-means clustering of big data. IEEE TrustCom-BigDataSE-ICESS (IEEE BigDataSE) 2017: 925-932
Carson K. Leung, Fan Jiang: Efficient mining of 'following' patterns from very big but sparse social networks. IEEE/ACM ASONAM (FAB) 2017: 1025-1032
Ashis Kumar Chanda, Chowdhury Farhan Ahmed, Md. Samiullah, Carson K. Leung: A new framework for mining weighted periodic patterns in time series databases. Expert Systems with Applications (ESWA) 79: 207-224 (August 2017)
Peter Braun, Alfredo Cuzzocrea, Carson K. Leung, Adam G.M. Pazdor, Syed K. Tanbeer: Mining frequent patterns from IoT devices with fog computing. HPCS 2017: 691-698 [CCGrid19]
Deepankar Choudhery, Carson K. Leung: Social media mining: prediction of box office revenue. IDEAS 2017: 20-29
Rich C. Lee, Alfredo Cuzzocrea, Wookey Lee, Carson K. Leung: An innovative majority voting mechanism in interactive social network clustering. ACM WIMS 2017: 14:1-14:10 (art. 14)
Alfredo Cuzzocrea, Carson Kai-Sang Leung, Fan Jiang, Richard Kyle MacKinnon: Complex mining from uncertain big data in distributed environments: problems, definitions and two effective and efficient algorithms. Big Data Management and Processing: 297-332 (ch. 15) (June 2017) ISBN 978-1498768078 [T&F, UM EBSCO]
Carson Kai-Sang Leung, Richard Kyle MacKinnon, Fan Jiang: Finding efficiencies in frequent pattern mining from big uncertain data. World Wide Web 20(3), special issue on big data and smart computing: 571-594 (May 2017)
Prawit Buayai, Tatpong Kantanukul, Carson K. Leung, Kanda Runapongsa Saikaew: Boundary detection of pigs in pens based on adaptive thresholding using the integral image and adaptive partitioning. CMU Journal of Natural Sciences 16(2): 145-155 (April-June 2017) EISSN 2465-4337 [KKU-IENC16] [CMUJ]
Carson K. Leung, Christopher L. Carmichael, Patrick Johnstone, Roy Ruokun Xing, David Sonny Hung-Cheung Yuen: Interactive visual analytics of big data. Ontologies and Big Data Considerations for Effective Intelligence: 1-26 (ch. 1) (February 2017) ISBN 978-1-5225-2058-0 [IGI Global]
Carson K. Leung, Fan Jiang, Edson M. Dela Cruz, Vijay Sekar Elango: Association rule mining in collaborative filtering. Collaborative Filtering Using Data Mining and Analysis: 159-179 (ch.9) (2017) ISBN 978-1-5225-0489-4 [IGI Global]
Carson K. Leung: Anti-monotone constraints. Encyclopedia of Database Systems, Living Edition: (1 page) (2017) ISBN 978-1-4899-7993-3
Carson Kai-Sang Leung: Convertible constraints. Encyclopedia of Database Systems, Living Edition: (2 pages) (2017) ISBN 978-1-4899-7993-3
Carson Kai-Sang Leung: Monotone constraints. Encyclopedia of Database Systems, Living Edition: (1 page) (2017) ISBN 978-1-4899-7993-3
Carson Kai-Sang Leung: Succinct constraints. Encyclopedia of Database Systems, Living Edition: (1 page) (2017) ISBN 978-1-4899-7993-3
2016
Carson Kai-Sang Leung: Frequent itemset mining with constraints. Encyclopedia of Database Systems, Living Edition: (6 pages) (2016) ISBN 978-1-4899-7993-3
Fan Jiang, Carson K. Leung, Oluwafemi A. Sarumi, Christine Y. Zhang: Mining sequential patterns from uncertain big DNA in the Spark framework. IEEE BIBM 2016: 874-881
Carson K. Leung, Peter Braun, Murun Enkhee, Adam G. M. Pazdor, Oluwafemi A. Sarumi, Kimberly Tran: Knowledge discovery from big social key-value data. IEEE CIT (SC2) 2016: 484-491
Md Naimul Hoque, Chowdhury Farhan Ahmed, Nicolas Lachiche, Carson K. Leung, Hao Zhang: Reframing in clustering. IEEE ICTAI 2016: 350-354
Md. Badi-Uz-Zaman Shajib, Md. Samiullah, Chowdhury Farhan Ahmed, Carson K. Leung, Adam G.M. Pazdor: An efficient approach for mining frequent patterns over uncertain data streams. IEEE ICTAI 2016: 980-984
Chaluemwut Noyunsan, Tatpong Katanyukul, Carson K. Leung, Kanda Runapongsa Saikaew: Effects of the inclusion of non-newsworthy messages in credibility assessment. MICAI 2016, Part I (LNCS/LNAI 10061): 185-195
Carson K. Leung (ed.): Proceedings of the Sixth International Conference on Emerging Databases (EDB 2016) (ACM ICPS 1213), Jeju Island, South Korea, October 17-19, 2016, ACM Press, ISBN 978-1-4503-4754-9
Fan Jiang, Carson K. Leung, Adam G. M. Pazdor: Web page recommendation based on bitwise frequent pattern mining. IEEE/WIC/ACM WI 2016: 632-635
Patrick M.J. Dubois, Zhao Han, Fan Jiang, Carson K. Leung: An interactive circular visual analytic tool for visualization of web data. IEEE/WIC/ACM WI 2016: 709-712
Alfredo Cuzzocrea, Giorgio M. Grasso, Fan Jiang, Carson K. Leung: Mining uplink-downlink user association in wireless heterogeneous networks. IDEAL 2016 (LNCS 9937): 533-541
Carson Kai-Sang Leung, Fan Jiang, Adam G. M. Pazdor, Aaron M. Peddle: Parallel social network mining for interesting 'following' patterns. Concurrency and Computation: Practice & Experience 28(15), special issue of DaWaK 2014: 3994-4012 (October 2016)
Fan Jiang, Carson K. Leung, Hao Zhang: B-mine: frequent pattern mining and its application to knowledge discovery from social networks. APWeb 2016, Part I (LNCS 9931): 316-328
Carson K. Leung, Christopher L. Carmichael, Yaroslav Hayduk, Fan Jiang, Vadim V. Kononov, Adam G.M. Pazdor: Data mining meets HCI: data and visual analytics of frequent patterns. ECML-PKDD 2016, Part III (LNCS/LNAI 9853): 289-293
Peter Braun, Alfredo Cuzzocrea, Carson K. Leung, Adam G.M. Pazdor, Kimberly Tran: Knowledge discovery from social graph data. Procedia Computer Science 96, special issue of KES 2016: 682-691 (2016)
Fan Jiang, Carson K. Leung, Adam G.M. Pazdor: Big data mining of social networks for friend recommendation. IEEE/ACM ASONAM (FAB) 2016: 921-922
Carson K. Leung, Edson M. Dela Cruz, Trevor L. Cook, Fan Jiang: Mining 'following' patterns from big sparse social networks. IEEE/ACM ASONAM (FAB) 2016: 923-930. Best Paper of FAB 2016
Carson K. Leung, Fan Jiang, Hao Zhang, Adam G.M. Pazdor: A data science model for big data analytics of frequent patterns. IEEE DASC-PICom-DataCom-CyberSciTech (IEEE DataCom) 2016: 866-873
Carson K. Leung, Vadim V. Kononov, Adam G.M. Pazdor, Fan Jiang: PyramidViz: Visual analytics and big data visualization of frequent patterns. IEEE DASC-PICom-DataCom-CyberSciTech (IEEE DataCom) 2016: 913-916
Akiz Uddin Ahmed, Chowdhury Farhan Ahmed, Md. Samiullah, Nahim Adnan, Carson K. Leung: Mining interesting patterns from uncertain databases. Information Sciences 354: 60-85 (August 2016)
Shelby D. Bernhard, Carson K. Leung, Vanessa J. Reimer, Joshua Westlake: Clickstream prediction using sequential stream mining techniques with Markov chains. IDEAS 2016: 24-33
Alfredo Cuzzocrea, Carson K. Leung: Computing theoretically-sound upper bounds to expected support for frequent pattern mining problems over uncertain big data. IPMU 2016, Part II (CCIS 611): 379-392
Carson K. Leung, Hao Zhang: Management of distributed big data for social networks. IEEE/ACM CCGrid 2016: 639-648
Carson K. Leung, Syed K. Tanbeer, Alfredo Cuzzocrea, Peter Braun, Richard Kyle MacKinnon: Interactive mining of diverse social entities. International Journal of Knowledge-based and Intelligent Engineering Systems (KES Journal) 20(2): 97-111 (May 2016) [UM EBSCO]
2015
Fan Jiang, Carson K. Leung: A data analytic algorithm for managing, querying, and processing uncertain big data in cloud environments. Algorithms 8(4), special issue on algorithms for managing, querying and processing big data in cloud environments: 1175-1194 (December 2015)
Fan Jiang, Carson K. Leung, Dacheng Liu: Efficiency improvements in social network communication via MapReduce. IEEE DSDIS (IEEE CPSCom) 2015: 161-168
Quazi Marufur Rahman, Anna Fariha, Amit Mandal, Chowdhury Farhan Ahmed, Carson K. Leung: A sliding window-based algorithm for detecting leaders from social network action streams. IEEE/WIC/ACM WI-IAT 2015, Vol. 1: 133-136
Richard Kyle MacKinnon, Carson K. Leung: Stock price prediction in undirected graphs using a structural support vector machine. IEEE/WIC/ACM WI-IAT 2015, Vol. 1: 548-555
Carson K. Leung, Aziz Nasridinov (eds.): Proceedings of the 2015 International Conference on Big Data Applications and Services (BigDAS 2015) (ACM ICPS 1109), Jeju Island, South Korea, October 20-23, 2015, ACM Press, ISBN 978-1-4503-3846-2
Carson K. Leung: Big data mining applications and services. BigDAS 2015: 1-8
Zhao Han, Carson K. Leung: FIMaaS: Scalable frequent itemset mining-as-a-service on cloud for non-expert miners. BigDAS 2015: 84-91
Anna Fariha, Chowdhury Farhan Ahmed, Carson K. Leung, Md. Samiullah, Suraiya Pervin, Longbing Cao: A new framework for mining frequent interaction patterns from meeting databases. Engineering Applications of Artificial Intelligence (EAAI) 45: 103-118 (October 2015)
Wenzhu Tong, Carson K. Leung, Dacheng Liu, Jialiang Yu: Probabilistic frequent pattern mining by PUH-Mine. APWeb 2015 (LNCS 9313): 768-780
Alfredo Cuzzocrea, Zhao Han, Fan Jiang, Carson K. Leung, Hao Zhang: Edge-based mining of frequent subgraphs from graph streams. Procedia Computer Science 60, special issue of KES 2015: 573-582 (2015)
Alfredo Cuzzocrea, Carson K. Leung, Richard Kyle MacKinnon: Approximation to expected support of frequent itemsets in mining probabilistic sets of uncertain data. Procedia Computer Science 60, special issue of KES 2015: 613-622 (2015)
Kyoji Kawagoe, Carson Kai-Sang Leung: Similarities of frequent following patterns and social entities. Procedia Computer Science 60, special issue of KES 2015: 642-651 (2015)
Carson Kai-Sang Leung, Richard Kyle MacKinnon: Balancing tree size and accuracy in fast mining of uncertain frequent patterns. DaWaK 2015 (LNCS 9263): 57-69
Carson Kai-Sang Leung, Fan Jiang: Big data analytics of social networks for the discovery of "following" patterns. DaWaK 2015 (LNCS 9263): 123-135
Carson Leung: Big data mining and computing in a smart world. UIC-ATC-ScalCom-CBDCom-IoP 2015: xcviii
Alfredo Cuzzocrea, Fan Jiang, Carson K. Leung, Dacheng Liu, Aaron Peddle, Syed K. Tanbeer: Mining popular patterns: a novel mining problem and its application to static transactional databases and dynamic data streams. LNCS Transactions on Large-Scale Data- and Knowledge-Centered Systems (TLDKS) XXI (LNCS 9260), selected papers from DaWaK 2012: 115-139 (2015)
Carson K. Leung, Alfredo Cuzzocrea: Frequent subgraph mining from streams of uncertain data. C3S2E 2015: 18-27
Fan Jiang, Kyoji Kawagoe, Carson K. Leung: Big social network mining for "following" patterns. C3S2E 2015: 28-37
Alfredo Cuzzocrea, Wookey Lee, Carson K. Leung: High-recall information retrieval from linked big data. IEEE COMPSAC (WEDA) 2015, Vol. 2: 712-717
Alfredo Cuzzocrea, Carson K. Leung: Upper bounds to expected support for frequent itemset mining of uncertain big data. ACM SAC (DM) 2015 (Vol. I): 919-921 [IPMU16]
Alfredo Cuzzocrea, Fan Jiang, Carson K. Leung: Frequent subgraph mining from streams of linked graph structured data. EDBT/ICDT Workshops (LWDM) 2015 (CEUR-WS 1330): 237-244 [CEUR-WS]
2014
Carson Kai-Sang Leung, Richard Kyle MacKinnon, Syed K. Tanbeer: Fast algorithms for frequent itemset mining from uncertain data. IEEE ICDM 2014: 893-898
Fan Jiang, Carson Kai-Sang Leung: A business intelligence solution for frequent pattern mining on social networks. IEEE ICDM Workshops (BASNA) 2014: 789-796
Richard Kyle MacKinnon, Teagan D. Strauss, Carson Kai-Sang Leung: DISC: Efficient uncertain frequent pattern mining with tightened upper bounds. IEEE ICDM Workshops (SDA) 2014: 1038-1045
Carson Kai-Sang Leung, Fan Jiang: A data science solution for mining interesting patterns from uncertain big data. IEEE BDCloud 2014: 235-242
Fan Jiang, Carson Kai-Sang Leung, Dacheng Liu, Aaron M. Peddle: Discovery of really popular friends from social networks. IEEE BDCloud (IEEE SocialCom) 2014: 342-349
Wookey Lee, Carson Kai-Sang Leung, Justin JongSu Song: Reducing noises for recall-oriented patent retrieval. IEEE BDCloud (IEEE SocialCom) 2014: 579-586
Carson Kai-Sang Leung, Syed K. Tanbeer, Juan J. Cameron: Interactive discovery of influential friends from social networks. Social Network Analysis and Mining 4(1), special issue of CASoN 2012: 154:1-154:13 (13 pages) (December 2014)
Carson Kai-Sang Leung: Uncertain frequent pattern mining. Frequent Pattern Mining: 417-453 (ch.14) (October 2014) ISBN 978-3-319-07820-5
Peter Braun, Alfredo Cuzzocrea, Carson K. Leung, Richard Kyle MacKinnon, Syed K. Tanbeer: A tree-based algorithm for mining diverse social entities. Procedia Computer Science 35, special issue of KES 2014: 223-232 (2014)
Carson K. Leung, Richard Kyle MacKinnon, Syed K. Tanbeer: Tightening upper bounds to the expected support for uncertain frequent pattern mining. Procedia Computer Science 35, special issue of KES 2014: 328-337 (2014)
Peter Braun, Juan J. Cameron, Alfredo Cuzzocrea, Fan Jiang, Carson K. Leung: Effectively and efficiently mining frequent patterns from dense graph streams on disk. Procedia Computer Science 35, special issue of KES 2014: 338-347 (2014)
Carson K. Leung, Kyle W. Joseph: Sports data mining: Predicting results for the college football games. Procedia Computer Science 35, special issue of KES 2014: 710-719 (2014)
Alfredo Cuzzocrea, Fan Jiang, Wookey Lee, Carson K. Leung: Efficient frequent itemset mining from dense data streams. APWeb 2014 (LNCS 8709): 593-601
Carson Kai-Sang Leung, Richard Kyle MacKinnon: BLIMP: A compact tree structure for uncertain frequent pattern mining. DaWaK 2014 (LNCS 8646): 115-123
Fan Jiang, Carson Kai-Sang Leung: Mining interesting "following" patterns from social networks. DaWaK 2014 (LNCS 8646): 308-319
Carson Kai-Sang Leung, Richard Kyle MacKinnon, Yang Wang: A machine learning approach for stock price prediction. IDEAS 2014: 274-277
Carson Kai-Sang Leung, Richard Kyle MacKinnon, Fan Jiang: Reducing the search space for big data mining for interesting patterns from uncertain data. IEEE BigData Congress 2014: 315-322
Alfredo Cuzzocrea, Carson K. Leung, Richard Kyle MacKinnon: Mining constrained frequent itemsets from distributed uncertain data. Future Generation Computer Systems (FGCS) 37, special issue on innovative methods and algorithms for advanced data-intensive computing: 117-126 (July 2014)
Richard Kyle MacKinnon, Carson Kai-Sang Leung, Syed K. Tanbeer: A scalable data analytics algorithm for mining frequent patterns from uncertain data. PAKDD Workshops (SDA) 2014 (LNCS/LNAI 8643): 404-416
Fan Jiang, Carson Kai-Sang Leung, Richard Kyle MacKinnon: BigSAM: Mining interesting patterns from probabilistic databases of uncertain big data. PAKDD Workshops (BigPMA) 2014 (LNCS/LNAI 8643): 780-792
Carson Kai-Sang Leung, Richard Kyle MacKinnon, Fan Jiang: Distributed uncertain data mining for frequent patterns satisfying anti-monotonic constraints. IEEE AINA Workshops (BICom) 2014: 1-6
Syed K. Tanbeer, Carson K. Leung, Juan J. Cameron: Interactive mining of strong friends from social networks and its applications in e-commerce. Journal of Organizational Computing and Electronic Commerce (JOCEC) 24(2-3), special issue on social computing and social networks: 157-173 (2014) [T&F]
Juan J. Cameron, Alfredo Cuzzocrea, Fan Jiang, Carson K. Leung: Frequent pattern mining from dense graph streams. EDBT/ICDT Workshops (GraphQ) 2014 (CEUR-WS 1133): 240-247 [CEUR-WS]
Alfredo Cuzzocrea, Carson K. Leung, Syed K. Tanbeer: Mining of diverse social entities from linked data. EDBT/ICDT Workshops (LWDM) 2014 (CEUR-WS 1133): 269-274 [CEUR-WS]
Carson Kai-Sang Leung: Big data mining and analytics. Encyclopedia of Business Analytics and Optimization (Vol. I): 328-337 (ch.30) (February 2014) ISBN 978-1-4666-5202-6 [IGI Global]
2013
Carson K.S. Leung, Christopher L. Carmichael, Patrick Johnstone, David Sonny Hung-Cheung Yuen: Interactive visual analytics of databases and frequent sets. International Journal of Information Retrieval Research (IJIRR) 3(4): 120-140 (art. 7) (October-December 2013) [IGI Global]
Fan Jiang, Carson Kai-Sang Leung: Stream mining of frequent patterns from delayed batches of uncertain data. DaWaK 2013 (LNCS 8057): 209-221
Carson Kai-Sang Leung: Mining frequent itemsets from probabilistic datasets. EDB 2013: 137-148
Syed Khairuzzaman Tanbeer, Fan Jiang, Carson Kai-Sang Leung, Richard Kyle MacKinnon, Irish J.M. Medina: Finding groups of friends who are significant across multiple domains in social networks. CASoN 2013: 21-26 [MIR Labs]
Juan J. Cameron, Alfredo Cuzzocrea, Fan Jiang, Carson K. Leung: Mining frequent itemsets from sparse data streams in limited memory environments. WAIM 2013 (LNCS 7923): 51-57
Carson Kai-Sang Leung, Yaroslav Hayduk: Mining frequent patterns from uncertain data with MapReduce for big data analytics. DASFAA 2013, Part I (LNCS 7825): 440-455
Carson Kai-Sang Leung, Syed Khairuzzaman Tanbeer: PUF-tree: a compact tree structure for frequent pattern mining of uncertain data. PAKDD 2013, Part I (LNCS/LNAI 7818): 13-25
Anna Fariha, Chowdhury Farhan Ahmed, Carson Kai-Sang Leung, S. M. Abdullah, Longbing Cao: Mining frequent patterns from human interactions in meetings using directed acyclic graphs. PAKDD 2013, Part I (LNCS/LNAI 7818): 38-49
Syed Khairuzzaman Tanbeer, Carson Kai-Sang Leung: Finding diverse friends in social networks. APWeb 2013 (LNCS 7808): 301-309
Juan J. Cameron, Alfredo Cuzzocrea, Carson K. Leung: Stream mining of frequent sets with limited memory. ACM SAC (DM) 2013 (Vol. I): 173-175
Carson Kai-Sang Leung, Alfredo Cuzzocrea, Fan Jiang: Discovering frequent patterns from uncertain data streams with time-fading and landmark models. LNCS Transactions on Large-Scale Data- and Knowledge-Centered Systems (TLDKS) VIII (LNCS 7790), special issue on advances in data warehousing and knowledge discovery: 174-196 (2013)
Carson K.-S. Leung, Irish J. M. Medina, Syed K. Tanbeer: Analyzing social networks to mine important friends. Social Media Mining and Social Network Analysis: Emerging Research: 90-104 (ch.6) (January 2013) ISBN 978-1-4666-2806-9 [IGI Global]
2012
Alfredo Cuzzocrea, Carson K. Leung: Efficiently compressing OLAP data cubes via R-tree based recursive partitions. ISMIS 2012 (LNCS/LNAI 7661): 455-465
Syed K. Tanbeer, Carson Kai-Sang Leung, Juan J. Cameron: DIFSoN: Discovering influential friends from social networks. CASoN 2012: 120-125
Fan Jiang, Carson Kai-Sang Leung, Syed K. Tanbeer: Finding popular friends in social networks. CGC (SCA) 2012: 501-508
Wookey Lee, Carson Kai-Sang Leung, Justin Jongsu Song, Chris Soo-Hyun Eom: A network-flow based influence propagation model for social networks. CGC (SCA) 2012: 601-608. Best Paper of SCA 2012
Bhavek P. Budhia, Alfredo Cuzzocrea, Carson K. Leung: Vertical frequent pattern mining from uncertain data. KES 2012 (FAIA 243): 1273-1282 [EBSCO host]
Nidhi R. Arora, Wookey Lee, Carson Kai-Sang Leung, Jinho Kim, Harshit Kumar: Efficient fuzzy ranking for keyword search on graphs. DEXA 2012, Part I (LNCS 7446): 502-510
Carson Kai-Sang Leung, Syed K. Tanbeer: Mining popular patterns from transactional databases. DaWaK 2012 (LNCS 7448): 291-302
Carson Kai-Sang Leung, Fan Jiang, Lijing Sun, Yan Wang: A constrained frequent pattern mining system for handling aggregate constraints. IDEAS 2012: 14-23
Carson Kai-Sang Leung, Syed K. Tanbeer, Bhavek P. Budhia, Lauren C. Zacharias: Mining probabilistic datasets vertically. IDEAS 2012: 199-204
Alfredo Cuzzocrea, Carson K. Leung: Frequent itemset mining of distributed uncertain data under user-defined constraints. SEBD 2012: 243-250 [UniPD]
Carson Kai-Sang Leung, Fan Jiang: RadialViz: An orientation-free frequent pattern visualizer. PAKDD 2012, Part II (LNCS/LNAI 7302): 322-334
Carson Kai-Sang Leung, Syed K. Tanbeer: Fast tree-based mining of frequent itemsets from uncertain data. DASFAA 2012, Part I (LNCS 7238): 272-287
Carson Kai-Sang Leung, Syed K. Tanbeer: Mining social networks for significant friend groups. DASFAA Workshops (SNSM) 2012 (LNCS 7240): 180-192
Carson Kai-Sang Leung, Lijing Sun: A new class of constraints for constrained frequent pattern mining. ACM SAC (DM) 2012 (Vol. I): 199-204
2011
Juan J. Cameron, Carson Kai-Sang Leung, Syed K. Tanbeer: Finding strong groups of friends among friends in social networks. IEEE DASC (SCA) 2011: 824-831
Carson Kai-Sang Leung, Fan Jiang, Pourang P. Irani: FpMapViz: A space-filling visualization for frequent patterns. IEEE ICDM Workshops (LSVA) 2011: 804-811
Christopher L. Carmichael, Yaroslav Hayduk, Carson Kai-Sang Leung: Visually contrast two collections of frequent patterns. IEEE ICDM Workshops (ContrastDM) 2011: 1128-1135
Alfredo Cuzzocrea, Carson K. Leung: Distributed mining of constrained frequent sets from uncertain data. ICA3PP 2011, Part I (LNCS 7016): 40-53
Carson Kai-Sang Leung, Fan Jiang, Yaroslav Hayduk: A landmark-model based system for mining frequent patterns from uncertain data streams. IDEAS 2011: 249-250
Nihad K. Chowdhury, Carson K.-S. Leung: Improved travel time prediction algorithms for intelligent transportation systems. KES 2011, Part II (LNCS/LNAI 6882): 355-365
Carson Kai-Sang Leung, Fan Jiang: Frequent pattern mining from time-fading streams of uncertain data. DaWaK 2011 (LNCS 6862): 252-264
Carson Kai-Sang Leung, Christopher L. Carmichael, Eu Wern Teh: Visual analytics of social networks: mining and visualizing co-authorship networks. HCII 2011 (Vol. 20), FAC 2011 (LNCS/LNAI 6780): 335-345
Carson Kai-Sang Leung: Mining uncertain data. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery (WIDM) 1(4): 316-329 (July/August 2011)
Wookey Lee, Carson K.-S. Leung, James J.H. Lee: Mobile web navigation in digital ecosystems using rooted directed trees. IEEE Transactions on Industrial Electronics (TIE) 58(6), special issue on digital ecosystems and cyber engineering: 2154-2162 (June 2011)
Juan J. Cameron, Carson K. Leung: Mining frequent patterns from precise and uncertain data. Journal of Computing and Systems (RSC) 1(1): 3-22 (January-June 2011) ISSN 2237-2903 [UniFacS]
Wookey Lee, Justin JongSu Song, Carson K.-S. Leung: Categorical data skyline using classification tree. APWeb 2011 (LNCS 6612): 181-187
Carson Kai-Sang Leung, Fan Jiang: Frequent itemset mining of uncertain data streams using the damped window model. ACM SAC (DM) 2011 (Vol. II): 950-955
Carson Kai-Sang Leung, Lijing Sun: Equivalence class transformation based mining of frequent itemsets from uncertain data. ACM SAC (DM) 2011 (Vol. II): 983-984
Carson K.-S. Leung, Christopher L. Carmichael: iVAS: An interactive visual analytic system for frequent set mining. Visual Analytics and Interactive Technologies: Data, Text and Web Mining Applications: 213-231 (ch.13) (2011) ISBN 978-1-60960-102-7 [ebrary]
2010
Hossein Pourreza, Sergio Camorlinga, Carson K.-S. Leung, Bruce D. Martin: An information and communication technology system to support rural healthcare delivery. ACM IHI 2010: 440-444
Carson Kai-Sang Leung, Christopher L. Carmichael: Exploring social networks: A frequent pattern visualization approach. IEEE SocialCom 2010: 419-424
Carson Kai-Sang Leung, Dale A. Brajczuk: uCFS2: An enhanced system that mines uncertain data for constrained frequent sets. IDEAS 2010: 32-37
Christopher L. Carmichael, Carson Kai-Sang Leung: CloseViz: Visualizing useful patterns. ACM SIGKDD Workshop on Useful Patterns 2010 (KDD-UP'10): 17-26
Bipin C. Desai, Carson K. Leung, Sudhir P. Mudur (eds.): Proceedings of the Third C* Conference on Computer Science & Software Engineering (C3S2E 2010), Montréal, Quebec, Canada, May 19-20, 2010, ACM Press, ISBN 978-1-60558-901-5 [ACM]
Carson Kai-Sang Leung, Boyu Hao, Dale A. Brajczuk: Mining uncertain data for frequent itemsets that satisfy aggregate constraints. ACM SAC (DM) 2010 (Vol. II): 1034-1038
Carson Kai-Sang Leung, Boyu Hao, Fan Jiang: Constrained frequent itemset mining from uncertain data streams. IEEE ICDE Workshops (MOUND) 2010: 120-127
2009
Carson Kai-Sang Leung, Christopher L. Carmichael: FpVAT: A visual analytic tool for supporting frequent pattern mining. ACM SIGKDD Explorations 11(2), special issue on visual analytics and knowledge discovery: 39-48 (December 2009) [KDD]
Carson Kai-Sang Leung, Dale A. Brajczuk: Efficient algorithms for the mining of constrained frequent patterns from uncertain data. ACM SIGKDD Explorations 11(2): 123-130 (December 2009) [KDD]
Wookey Lee, James Jung-Hoon Lee, Young Kuk Kim, Carson Kai-Sang Leung: AnchorWoman: Top-k structured mobile web search engine. ACM CIKM 2009: 2089-2090
Carson Kai-Sang Leung, Dale A. Brajczuk: Mining uncertain data for constrained frequent sets. IDEAS 2009: 109-120
Carson Kai-Sang Leung: Anti-monotone constraints. Encyclopedia of Database Systems: 98 (2009) ISBN 978-0-387-35544-3
Carson Kai-Sang Leung: Convertible constraints. Encyclopedia of Database Systems: 494-495 (2009) ISBN 978-0-387-35544-3
Carson Kai-Sang Leung: Frequent itemset mining with constraints. Encyclopedia of Database Systems: 1179-1183 (2009) ISBN 978-0-387-35544-3
Carson Kai-Sang Leung: Monotone constraints. Encyclopedia of Database Systems: 1769 (2009) ISBN 978-0-387-35544-3
Carson Kai-Sang Leung: Succinct constraints. Encyclopedia of Database Systems: 2876 (2009) ISBN 978-0-387-35544-3
Carson Kai-Sang Leung, Dale A. Brajczuk: Efficient algorithms for mining constrained frequent patterns from uncertain data. ACM SIGKDD Workshop on Knowledge Discovery from Uncertain Data 2009 (KDD-U'09): 9-18
Carson Kai-Sang Leung, Christopher L. Carmichael: FpViz: A visualizer for frequent pattern mining. ACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery 2009 (KDD-VAKD'09): 30-39
Bipin C. Desai, Carson K. Leung, Olga Ormandjieva (eds.): Proceedings of the Second Canadian Conference on Computer Science & Software Engineering (C3S2E 2009), Montréal, Quebec, Canada, May 19-21, 2009, ACM Press, ISBN 978-1-60558-401-0 [ACM]
Carson Kai-Sang Leung, Boyu Hao: Mining of frequent itemsets from streams of uncertain data. IEEE ICDE 2009: 1663-1670
Wookey Lee, Carson K.-S. Leung: Structural top-k web navigation with inclusive query. IEEE ICIT 2009 (Vol. 3): 1295-1300 [toc]
Mark Anthony F. Mateo, Carson Kai-Sang Leung: CHARIOT: A comprehensive data integration and quality assurance model for agro-meteorological data. Data Quality and High-Dimensional Data Analysis: 21-41 (ch.3) (February 2009) ISBN 978-981-4273-48-0 [DASFAA08w (DataQuality), EBSCOhost, ebrary]
Carson Kai-Sang Leung: Constraint-based association rule mining. Encyclopedia of Data Warehousing and Mining, Second Edition (Vol. I): 307-312 (ch.49) (2009) ISBN 978-1-60566-010-3
2008
Carson Kai-Sang Leung, Pourang P. Irani, Christopher L. Carmichael: WiFIsViz: Effective visualization of frequent itemsets. IEEE ICDM 2008: 875-880
Carson Kai-Sang Leung, Dale A. Brajczuk, Jialiang Yu: Efficient algorithms for stream mining of constrained frequent patterns in a limited memory environment. IDEAS 2008: 189-198
Carson Kai-Sang Leung, Dale A. Brajczuk: Efficient mining of frequent itemsets from data streams. BNCOD 2008 (LNCS 5071): 2-14
Carson Kai-Sang Leung, Pourang P. Irani, Christopher L. Carmichael: FIsViz: A frequent itemset visualizer. PAKDD 2008 (LNCS/LNAI 5012): 644-652
Carson Kai-Sang Leung, Mark Anthony F. Mateo, Dale A. Brajczuk: A tree-based approach for frequent pattern mining from uncertain data. PAKDD 2008 (LNCS/LNAI 5012): 653-661
Mark Anthony F. Mateo, Carson Kai-Sang Leung: Design and development of a prototype system for detecting abnormal weather observations. C3S2E 2008: 45-59
Boyu Hao, Carson Kai-Sang Leung, Sergio Camorlinga, Martin H. Reed, Martin K. Bunge, Jens Wrogemann, Rick J. Higgins: A computer-aided change detection system for paediatric acute intracranial haemorrhage. C3S2E 2008: 109-111
2007
Carson Kai-Sang Leung, Christopher L. Carmichael, Boyu Hao: Efficient mining of frequent patterns from uncertain data. IEEE ICDM Workshops (DUNE) 2007: 489-494
Carson Kai-Sang Leung, Mark Anthony F. Mateo, Andrew J. Nadler: An effective multi-layer model for controlling the quality of data. IDEAS 2007: 28-36
Carson K.-S. Leung, Mark A. F. Mateo, Andrew J. Nadler: CAMEL: An intelligent computational model for agro-meteorological data. ICMLC 2007 (Vol. 4): 1960-1965
Carson Kai-Sang Leung, Quamrul I. Khan, Zhan Li, Tariqul Hoque: CanTree: A canonical-order tree for incremental frequent-pattern mining. Knowledge and Information Systems (KAIS) 11(3): 287-311 (April 2007)
2006
Carson Kai-Sang Leung, Quamrul I. Khan: DSTree: A tree structure for the mining of frequent sets from data streams. IEEE ICDM 2006: 928-932
Carson Kai-Sang Leung, Quamrul I. Khan, Boyu Hao: Distributed mining of constrained patterns from wireless sensor data. IEEE/WIC/ACM WI-IAT Workshops (IA-WSN) 2006: 248-251
Carson Kai-Sang Leung, Quamrul I. Khan: Efficient mining of constrained frequent patterns from streams. IDEAS 2006: 61-68
Carson Kai-Sang Leung, Ruppa K. Thulasiram, Dmitri A. Bondarenko: An efficient system for detecting outliers from financial time series. BNCOD 2006 (LNCS 4042): 190-198
Carson Kai-Sang Leung, Wookey Lee: Efficient update of data warehouse views with generalised referential integrity differential files. BNCOD 2006 (LNCS 4042): 199-211
2005
Carson Kai-Sang Leung, Quamrul I. Khan, Tariqul Hoque: CanTree: A tree structure for efficient incremental mining of frequent patterns. IEEE ICDM 2005: 274-281
Carson K.-S. Leung, Ruppa K. Thulasiram, Dmitri A. Bondarenko: Using data mining techniques for detecting noises and pre-processing financial time series. JCIS (CIEF) 2005 (Vol. 2): 1177-1180 1138-1141 [toc]
Carson Kai-Sang Leung, Wookey Lee: Exploitation of referential integrity constraints for efficient update of data warehouse views. BNCOD 2005 (LNCS 3567): 98-110
2004
Carson Kai-Sang Leung: Interactive constrained frequent-pattern mining system. IDEAS 2004: 49-58
Carson Kai-Sang Leung: Dynamic FP-tree based mining of frequent patterns satisfying succinct constraints. CDB 2004 (LNCS 3074): 117-132
Carson Kai-Sang Leung: Efficient parallel mining of constrained frequent patterns. HPCS 2004: 73-82 [dblp]
2003
Laks V. S. Lakshmanan, Carson Kai-Sang Leung, Raymond T. Ng: Efficient dynamic mining of constrained frequent sets. ACM Transactions on Database Systems (TODS) 28(4): 337-389 (December 2003)
2002
Carson Kai-Sang Leung, Laks V. S. Lakshmanan, Raymond T. Ng: Exploiting succinct constraints using FP-trees. ACM SIGKDD Explorations 4(1), special issue on constraints in data mining: 40-49 (June 2002) [KDD]
Carson Kai-Sang Leung, Raymond T. Ng, Heikki Mannila: OSSM: A segmentation approach to optimize frequency counting. IEEE ICDE 2002: 583-592
2000
Laks V. S. Lakshmanan, Carson Kai-Sang Leung, Raymond T. Ng: The segment support map: Scalable mining of frequent itemsets. ACM SIGKDD Explorations 2(2), special issue on scalable data mining algorithms: 21-27 (December 2000) [KDD]
1998
Kai-Sang Leung, Raymond Ng: Multiscale similarity matching for subimage queries of arbitrary size. Visual Database Systems 4: 243-264 (ch.21) (1998) ISBN 0-412-84400-1 [VBD98]
Kai-Sang Leung, Raymond Ng: Multiresolution subimage similarity matching for large image databases. IS&T/SPIE Storage and Retrieval for Image and Video Databases VI (SPIE Proceedings Vol. 3312): 259-270 (1998) [UBC]