Tech Reports
Selected Technical Reports
2023
Matthew R. Kwiatkowski: Graph pooling neural networks for weakly-supervised pseudo-mask generation (Dec 2023) [Hons]
Beyza Ciftci, Iman Beheshti, Lisa Lix, Amber Salter, Carson Leung, Ruth Ann Marrie: Disability-based clusters and their clinicodemographic determinants in patients with multiple sclerosis: preliminary results of an unsupervised clustering approach. MSMilan2023 – Paper Poster - Session 2. Multiple Sclerosis Journal 29(3S): 394–649 (2023)
Wenqi (Vincy) Huang, Carson K. Leung: Big data science and data analytics for useful information (Jun-Sep 2023) [Mitacs-Globalink]
Shreyas Ganpat Bhor, Carson K. Leung: Big data science and data analytics for useful information (Jun-Sep 2023) [Mitacs-Globalink]
Xun Wang, Carson K. Leung: Social network analysis and mining (Jul-Oct 2023) [Mitacs-Globalink]
Jordon Hong, Carson K. Leung: Pattern mining from big databases (Aug 2023) [NSERC-USRA]
Junyi (Andre) Lu, Carson K. Leung (Aug 2023) [Sc-Philip Hultin]
Carson K. Leung, Farhad Mirzapour-Ghazvini: High utility patterns: algorithms, generalizations and a graph theoretical approach (Apr 2023) [Hons]
Carson K. Leung, Shang (Tommy) Wu: Spatiotemporal analysis on Winnipeg 311 service requests (Apr 2023) [Hons]
Megan Galbraith, Jasmin Dhaliwal, Carson K. Leung, Da Tan: FarmLink data visualization tool (Apr 2023) [Ind]
Robert Guderian, Daniel La Rocque, Carson K. Leung, Christopher Vattheuer, Jared Webber: FarmLink time-series in Timscale (Apr 2023) [Ind]
2022
Carson K. Leung, Mehrnaz Sadroleslami: Co-op matching tool (Dec 2022) [Ind]
Bikramjit Singh Dhaliwal, Carson K. Leung: A computational and mathematical solution for big data science (Aug 2022) [NSERC-USRA, Sc-USRA]
Rayan Imran, Carson K. Leung (Aug 2022) [SSA/Sc-USRA]
Junyi (Andre) Lu, Carson K. Leung: Design of a data science solution for big data mining (Aug 2022) [UMVP-URA, SSA/Sc-USRA]
Denys Popov, Carson K. Leung (Aug 2022) [Sc-USRA]
Sanskar Raval, Carson K. Leung: Design of human-centered explanatory data mining solution (Aug 2022) [UMVP-USRA]
Judah Zammit, Pingzhao Hu, Carson K. Leung: Deep tensor completion models for anti-cancer drug combination discovery (May 25 2022) [MSc-Prop]
Carson K. Leung, Cheng Li: Fuzzy rough set based classification from data streams (Apr 2022) [Hons]
Ciftci Beyza, Lisa Lix, Carson Leung, Ruth Ann Marrie, Amber Salter: Disability-based clusters in multiple sclerosis [URGP 56472]
Daryl L.X. Fung, Pingzhao Hu, Carson K. Leung: Deep learning for modeling longitudinal health data to predict disease outcomes (Mar 03 2022) [MSc-Prop]
Bryan H. Wodi, Carson K. Leung: A hybrid database solution to support transportation analytics: a case study on improving emergency medical service response times (Jan 24 2022) [MSc-Prop]
2021
Qi Wen, Carson K. Leung: Personalized privacy-preserving recommendation system (Dec 16 2021) [MSc-Prop]
Carson K. Leung, Fengqi Yang: Analysis and prediction of heart disease by regression algorithm and genetic algorithm (Dec 2021) [Hons]
Donald McLennan, Carson Leung, Eddy Carmack, Ralph Dueck, Tom Henheffer: Collecting, storing and disseminating Arctic data - new solutions to chronic problems. ArcticNet ASM 2021 (Dec 2021)
Tyson N. Kaufmann, Carson K. Leung: Upper bound frequent pattern mining of categorical datasets containing null values (Aug 2021) [Hons]
Carson Leung, Adam G.M. Pazdor (IU): Data analytics on city 311 information requests (Approved 2021Feb24) [Mitacs IT23677: City of Winnipeg]
Renz Cabusas, Carson K. Leung: A data science solution for big data mining and analytics (Aug 2021) [NSERC-USRA]
Yan Wen, Carson K. Leung (Aug 2021): A computational and mathematical based data science solution for knowledge discovery [UMVP-URA]
Thanh Huy (Daniel) Mai, Carson K. Leung: A computational and statistical based data science solution for knowledge discovery (Aug 2021) [UMVP-URA]
Chenru Zhao, Carson K. Leung (Aug 2021) [Sc-USRA]
Nguyen Duy Thong (Jason) Tran, Carson K. Leung: COVID-19 neural network (COVID-19-NN) (Aug 2021) [Sc-USRA]
Hao Zheng, Carson K. Leung (Aug 2021) [Sc-USRA]
Connor Clark James Hryhoruk, Carson K. Leung: Reverse optimized gapped multi-word improved position list word-aligned hybrid (ROGM-IPLWAH) compression (Aug 2021) [Sc-Philip Hultin]
Lily Lim, Lisa Lix, Carson Leung, Christine Peshken, Ruth Ann Marrie: Machine learning to identify lupus patients and define lifetime disease association trajectories: preventing future morbidities & improving health (Jan-Mar 2022) [Arthritis Society - bridge grant 2021] (2021Jun29)
Lily Lim, Lisa Lix, Carson Leung, Christine Peshken, Ruth Ann Marrie: Machine learning to identify lupus patients and define lifetime disease association trajectories: preventing future morbidities & improving health (Jan 2022-Dec 2023) [Arthritis Society - innovation grant 2021] (2021Jun29)
Barret Monchka, Carson Leung, Lisa Lix: The effect of disease co-occurrence measurement on multimorbidity networks. CSEB 2021 rapid fire presentation 121 (Jun 01-03 2021)
Marcello Nesca, Lisa Lix, Carson Leung: Preprocessing methods to prepare unstructured text data for natural language processing: a scoping review. CSEB 2021 electronic poster 13
Siok Hoon Lily Lim, Carson Leung, Lisa Lix, Deborah Levy (University of Toronto/SickKids), Ruth Ann Marrie, Christine Peschken, Zahi Touma (University of Toronto), Jessica Widdifield (Institute for Clinical Evaluative Sciences (ICES)): A novel market basket machine learning approach for case ascertainment in population-based health databases [CIHR Project Grant] (Apr 01 2021)
Carson K. Leung, Evan W.R. Madill: A benchmark comparison for sliding window based pattern mining over time series data (Apr 2021) [Hons]
Carson K. Leung, Yipeng Liu: Data mining project: impact of the COVID-19 on GDP of various industries in Canada (Apr 2021) [Hons]
Jaime Solis-Soto, Carson K. Leung: Big data science and data analytics for useful information 2021 (May-August 2021) [Mitacs-Globalink]
Wenxuan Guo, Carson K. Leung: Big data science and data analytics for useful information 2021 (May-August 2021) [Mitacs-Globalink]
Cuneyt Gurcan Akcora, Carson Leung, Wadood Ibrahim: Bonafide: decentralized services for sharing and searching user generated data (2021Mar22-2023Mar31) [Research Manitoba Innovation Proof-of-Concept]
Cuneyt Gurcan Akcora, Carson Leung, Qi Wen, Poupak Azad, 4*IUs: Decentralized services for sharing and searching user generated data (Approved 2020Nov04; awards: 2021Jan01-Apr30, May01-Aug31) [Mitacs IT20117, FR58693-4: Protegra]
2020
Yubo Chen, Carson K. Leung: Temporal data analytics on COVID-19 data (December 2020) [Hons]
Carson K. Leung, Siyuan Shang: Spatial data analytics of COVID-19 data (December 2020) [Hons]
Lily Lim, Carson Kai-Sang Leung, Christian Peschken, Ruth Ann Marrie, Marni Brownell, Dan Chateau: Machine learning to identify lupus patients and define lifetime disease association trajectories: Preventing future morbidities & improving health [SSHRC New Frontiers Research Fund - Exploration proposal] (Oct 20 2020)
Joglas do Nascimento Souza, Carson Leung: Explainable AI for providing human-friendly explanations to predictive analytics. Human ethics protocol HS24200 (J2020:055) from Joint Faculty Research Ethics Board (2020Oct15-2021Oct15)
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) [MSpace, IEEE:Access]
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) [MSpace, Elsevier:JProCS-EUSPN20]
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) [MSpace, Elsevier:JProCS-EUSPN20]
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) [MSpace, PMC, PubMed, Elsevier:JProCS-KES20]
Carson Leung, Ralph Dueck, Reynard Dela Torre, Salweyar Patel, Patience Ngcobo, Hongming Li, Chong Li, Jing Xiao, Anifat Olawoyin: Arctic Research Foundation UX/UI searchable database (Approved 2020Sep09; awards: 2020Sep30-2021Jan29, 2021Jan30-May29, May30-Sep29) [Mitacs IT19748, FP56228-30: ARF]
Jing Xiao -> Nicholas (Logan) Olson
BTM: Kim Le; 3 dev: Chukwuma Ogu, Tushar Sharma, Gagandeep Kaur Chahal
Joglas do Nascimento Souza, Carson K. Leung: Explainable AI for providing human-friendly explanations to predictive analytics (July 30 2020) [MSc-Prop]
Jiaxing Mai, Carson K. Leung: Scalable high utility pattern mining for dynamic profit from big data streams (June 10 2020) [MSc-Prop]
Deyu Deng, Carson K. Leung: Predictive analytics for dynamic parking pricing (June 08 2020) [MSc-Prop]
Carson Leung, Bryan Wodi, Maryam Ghaffari-Dolama: Design and development of a big data analytics system to accommodate dynamic risk modeling of emergency responder delays at active rail crossings (Approved 2020May15; awards: 2020Jun03-Oct02, 2020Oct03-2021Feb02, 2021Feb03-Jun02, Jun03-Oct02: start-2020Dec02 [Mitacs IT17935, FR49342-5, FR49346-9: Trainfo]
Carson Leung, Deyu Deng: Constrained dynamic pricing for airport parking reservations (Approved 2020Apr16; awards: 2020Jun01-Sep30, 2020Oct01-2021Jan31: start-2020Mar31) [Mitacs IT18143, FR48285-6: WAA]
Pingzhao Hu, Carson K. Leung, Qian Liu: A rare pattern-based anomaly detection for pre-processing and a deep-learning based hierarchical statistic graphical model for segmenting COVID-19 CT images, and a statistical estimation algorithm for predicting patients' severity from the segmented images (Aug 2020) [VADA]
Daryl Lerh Xing Fung, Pingzhao Hu, Carson K. Leung: Predicting severity of COVID-19 from patients' chest CT images using self-supervised image segmentation approaches (Aug 2020) [Hons]
Pingzhao Hu, Carson K. Leung, Judah Zammit: Caerus: A U-Net inspired, hierarchical graphical model for semi-supervised COVID-19 CT image segmentation (Aug 2020) [Ind]
Vishnusai Bhadramraju (aka Vishnu Naidu), Carson K. Leung: Mining useful information from social networks 2020 (July-October 2020) [Mitacs-Globalink]
Jaime Solis-Soto, Carson K. Leung: Big data science and data analytics for useful information 2020 (May-August 2020) [Mitacs-Globalink]
Yan Wen, Carson K. Leung (Aug 2020) [UMVP-URA, Sc-USRA]
Jeonghwan Choi, Carson K. Leung (Aug 2020) [Sc-USRA]
Siyuan Shang, Carson K. Leung (Aug 2020) [Sc-USRA]
Yubo Chen, Carson K. Leung (Aug 2020) [Sc-USRA]
Hao Zheng, Carson K. Leung (Aug 2020) [Sc-USRA]
Sehaj Pal Singh, Carson K. Leung (Aug 2020) [Sc-USRA]
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] supplementary material [PDF] [MSpace, PMC, PubMed, Springer Nature:BMCGeonmics]
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 [PMC]
Marcello Nesca, Lisa Lix, Alan Katz, Carson Leung: Development of a data quality framework and operational measures for unstructured text data in routinely collected electronic health data. Human ethics protocol HS23836 (H2020:175) from Health Research Ethics Board (2020Apr10-2021Apr10) [CIHR]
Raymond Frogner, Niigaanwewidam Sinclair, Alan Katz, Sandra Pereira, Mary Jane McCallum (U Winnipeg), Cary Miller, Carson Leung: NCTR digital architecture. [Research Manitoba - CFI Innovation Fund Matching Funds 2020] (Submitted Mar 15 2020)
Raymond Frogner, Jonathan Dewar (First Nations Information Governance Centre), Alan Katz, Carson K.-S. Leung, Tricia Logan (UBC), Mary Jane McCallum (U Winnipeg), Cary Miller, Ian Mosby (Ryerson), Sandra Pereira, Niigaan Sinclair: NCTR digital architecture [CFI - Innovation Fund 2020] (Jan 20 2020)
Justin Gouge, Carson K. Leung: Alternative approaches for insertion and deletion in suffix trees for time series windows: algorithm improvements for sliding window weighted periodic pattern mining over time series data (April 2020) [Hons]
Carson K. Leung, Saad Mushtaq: Rap Lyrics Generation Using Neural Networks: deep fire using neural network (April 2020) [Hons]
2019
Jinxi (Levi) Guo, Carson K. Leung: Electronic dance music generation (December 2019) [Hons]
Carson K. Leung, Grant Barkman: Advanced predictive analytics for employee turnover (Oct 2019-Mar 20202021) [NSERC EGP2 544453-19; DecisionWorks]
Xiaoke Zhang, Carson K. Leung: Big data science and data analytics for useful information (Jun-Sep 2019) [Mitacs-Globalink]
Carson K. Leung, Qi Wen: Predicting movie success with advanced candidate generation and matching (August 2019) [Hons]
Justin Choi, Julieta Frank, Carson K. Leung: The information contained in the duration of prices (August 2019) [NSERC-USRA, WT2]
Sue Yi Lee, Carson K. Leung (August 2019) [UMVP-URA, WT1]
Ovietobore Daniel (Toby) Oghre, Carson K. Leung: Design of a data science solution for big data mining and analytics (August 2019) [UMVP-URA, WT2]
Joshua David Hamilton, Carson K. Leung (August 2019) [Sc-USRA]
Marshall Duncan Jackson, Carson K. Leung (August 2019) [Sc-USRA]
Qingyuan Li, Carson K. Leung (August 2019) [Sc-USRA]
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. Research publication from University of Manitoba researchers, University of Manitoba, Winnipeg, MB, Canada (2019) [MSpace, ibai-publishing:ICDM2019] (July 2019)
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. Research publication from University of Manitoba researchers, University of Manitoba, Winnipeg, MB, Canada (2019) [MSpace, ibai-publishing:ICDM2019] (July 2019)
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. Research publication from University of Manitoba researchers, University of Manitoba, Winnipeg, MB, Canada (2019) [MSpace, ibai-publishing:ICDM2019] (July 2019)
Bryan H. Wodi, Carson K. Leung, Alfredo Cuzzocrea, S. Sourav: Fast privacy-preserving keyword search on encrypted outsourced data. IEEE ICC Workshops 2019 [IEEE BigData 2019]
Siok Hoon Lily Lim, Lisa Lix, Carson Leung, Christian Peschken, Kerstin Gerhold, Natalie Jane Shiff: Using a machine learning approach to identify juvenile arthritis patients in administrative health databases: Developing an automated tool to facilitate a future Canadian study of life-time outcomes in childhood-onset chronic rheumatic diseases [CHRIM Operating Grant proposal] (Apr 15 2019)
Huizi Hao, Carson K. Leung: Recommending friends on social networks based on music interests and interactions (April 2019) [Hons]
Carson K. Leung, Yibin Zhang: Mining and compression on social networks data (April 2019) [Hons]
Carson K. Leung, Peter Braun, Alfredo Cuzzocrea: AI-based sensor information fusion for supporting deep supervised learning. Research publication from University of Manitoba researchers, University of Manitoba, Winnipeg, MB, Canada (2019) [MSpace, PMC, PubMed, MDPI:Sensors] (March 2019)
Calvin Hoi, Carson K. Leung: Data visualization on big data mining with statistical validation feature (February 06, 2019) [MSc-Prop]
Tomasz Pawliszak, Carson K. Leung, Olivier Tremblay-Savard: Operon-based approach for the inference of tRNA gene evolution (February 04, 2019) [MSc-Prop]
2018
Nibrasul Islam Ohin, Carson K. Leung: Remotely control dimming system for LED lamps (December 2018) [Ind]
Carson Kai-Sang Leung, Yibin Zhang: Orientation-free frequent itemset visualizer - icFIVAT: an interactive circular frequent itemsets visualization analytic tool (December 2018) [Ind]
Beom-Jin Park, Christopher Chmelyk, Daniel Heslop, Zhengyu Gu, [Carson K. Leung]: Analysis and prediction of patterns in futures trading datasets using LSTM. Proceedings of Manitoba's Undergraduate Science and Engineering Research (PMUSER) 4(1): 16-23 (2018)
Carson K. Leung, Grant Barkman: Predictive analytics of driver turnover (Nov 01 2018) [NSERC EGP 532022-18]
Justine Bernshine, [Carson K. Leung]: Gender prediction: text classification analysis using naive Bayes approach. CSearch 2018: 16 [Proc]
Garreth Rempel, Neil Ternowetsky (Trainfo), Jonathan Foord, Mark Nagelberg (City of Winnipeg), Tom Wallace, Margot Bergstrom (Winnipeg Fire and Paramedic Service), Carson Leung, Parimala Thulasiraman, Sandra Perreira, You Liang (UofM): Assessing the safety benefits of a real-time railroad crossing blockage information system for emergency responders. FRA‐HF‐003 BAA-2018 Federal Railroad Administration (Sep 21 2018) [Proposal]
Oluwafemi A. Sarumi, Carson K. Leung, Adebayo O. Adetunmbi: Spark-based data analytics of sequence motifs in large omics data. Research publication from University of Manitoba researchers, University of Manitoba, Winnipeg, MB, Canada (2018) [MSpace, Elsevier:JProCS-KES18]
Carson K. Leung, Felix Kanke, Alfredo Cuzzocrea: Data analytics on the board game Go for the discovery of interesting sequences of moves in joseki. Research publication from University of Manitoba researchers, University of Manitoba, Winnipeg, MB, Canada (2018) [MSpace, Elsevier:JProCS-KES18]
Peter Braun, Alfredo Cuzzocrea, Carson K. Leung, Adam G.M. Pazdor, Joglas Souza: Item-centric mining of frequent patterns from big uncertain data. Research publication from University of Manitoba researchers, University of Manitoba, Winnipeg, MB, Canada (2018) [MSpace, Elsevier:JProCS-KES18]
Lisa Marie Lix, Xibiao Ye (BC Ministry of Health), Carson Kai-Sang Leung, Yang Wang, Alan Katz, Marcelo Urquia, Alyson Mahar: Integrating artificial intelligence approaches into chronic disease surveillance systems (May 29 2018) [LOI]
Garreth Rempel, Neil Ternowetsky, Michael Cantor, Jonathan Foord, Tom Wallace, Carson Leung, Parimala Thulasiraman, Sandra Perreira: Assessing the safety benefits of a real-time railroad crossing blockage information system for emergency responders. BAA-2018 Federal Railroad Administration (May 24 2018) [Concept paper]
Sam Kam Pun Kung, Neeloffer Mookherjee, Alok Pathak, Carson Leung, Ruey Chyi Su: Synthetic host defense peptides in head and neck cancers. Rady Innovation Fund (Aug 17 2018)
Shubhangi Bharti, Carson K. Leung: Mining useful information from social networks (2018) (August 2018) [MITACS-Globalink]
Joshua David Hamilton, Carson K. Leung: Design of a statistical solution for big data mining and analytics (August 2018) [UM-URA, Canada summer jobs #015530223]
Joshua David Hamilton (August 2018) [Sc-USRA]
Huizi Hao (August 2018) [Sc-USRA, WT2]
Sehaj Pal Singh, Carson K. Leung: Design of a mathematical solution for big data mining and analytics (August 2018) [UM-URA, WT1]
Sehaj Pal Singh (August 2018) [Sc-USRA, WT1]
Yeyoung Won, Carson K. Leung: A data science solution for mining big data (August 2018) [NSERC-USRA, WT1]
Yibin Zhang, Carson K. Leung: Design of a data science solution for big data mining and analytics (August 2018) [UMSU-URA, Canada summer jobs #015530223]
Yibin Zhang (August 2018) [Sc-USRA]
Carson K. Leung, Ladjel Bellatreche: Message from the IEEE SmartData-2018 General Chairs. IEEE Cybermatics (SmartData) 2018: lvi (July 30-August 03, 2018)
Carson K. Leung, Monica Mai: Look who's talking: the use of social media among the emerging Canadian PA profession (May 2018)
Long Kei Ronnie Kwan, Carson K. Leung: Data analytics of Twitter data and its application for physician assistants (April 2018)
Carson K. Leung, Nibrasul I. Ohin, Syed Habib Ur Rehman: A remotely control dimming system for LED lamps with power factor correction (April 2018)
Carson K. Leung, Gary C. Tong: Verifying sequential patterns in genetic sequences using high performance computing (April 2018) [Hons]
Baosu Guo (YSU.cn), Carson K. Leung: On-line monitoring and suppression of milling chatter on thin-walled workpieces with fusion of cutting force and image information under big data [Proposal.cn] (March 2018)
Carson Leung, Julieta Frank: Big data analytics and mining of agricultural commodity futures markets data (Jan 2018-Jan 2020) [UM UCRP]
2017
Carson K. Leung, Difan Zhang: High utility itemset mining (December 2017) [Hons]
Greg S. Bak (UM), Jennifer L. Douglas (UBC), Raymond O. Frogner (UM): Representing diversity: exploring the potential of linked data to transform archival description. Proposal for SSHRC Insight grants (October 2017) with collaborators Danielle R.N. Allard (UAlberta), Morgan Chapman (LSLIRC-TARR), Krista Jamieson (UAlberta), Carson K. Leung, Thomas C. Nesmith (UM), Jinfang Niu (USF), Evelyn Peters-McLellan (Artefactual)
Carson Leung, Julieta Frank: Design of a big data science solution for analyzing market microstructure and detecting algorithmic trading from agricultural commodity futures markets data (Oct 20 2017-Dec 2018) [UM FoS IRCI]
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. Research publication from University of Manitoba researchers, University of Manitoba, Winnipeg, MB, Canada (2017) [MSpace, Elsevier:JProCS-KES17]
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. Research publication from University of Manitoba researchers, University of Manitoba, Winnipeg, MB, Canada (2017) [MSpace, Elsevier:JProCS-KES17]
Wookey Lee, Carson K. Leung: Preface. BigDAS 2017: vii-ix
Junqiang Liu (ZJGSU.cn), Xingxing Zhang (ZJGSU.cn), Carson K.S. Leung, Raymond C.W. Wong (HKUST): ID2HUP: An efficient incremental algorithm for utility mining in dynamic databases. Submission for SCIENCE CHINA Information Sciences (May-Aug 2017)
Chenxi Fan [UM-URA]
Pranjal Gupta, Carson K. Leung: Visual analytics of interesting data and knowledge (May-July 2017) [MITACS-Globalink]
Katharine A. King [UM-URA, WT1]
Katharine A. King [Sc-USRA, WT1, Canada summer jobs #014722466]
1 more HQP [Canada summer jobs #014722466]
Ye Yuan, Carson K. Leung: Design of big data science solution for data mining and analytics (August 2017) [UM-URA, WT2]
Ye Yuan [Sc-USRA, WT2]
Henry Bryan Wodi: An improvement on RadialViz (August 2017) [Sc-USRA, WT2]
Zhida Zhang, Carson K. Leung: Mining useful information from social networks (July-October 2017) [MITACS-Globalink]
Alfredo Cuzzocrea, Carson Kai-Sang Leung: HPCS-ISE 2017 (Information systems and engineering) (July 17-21, 2017)
Adam G.M. Pazdor, Carson K. Leung: Generalizing big data contrast mining: adapting DCP-growth to discover disjunctive contrast patterns (June 13, 2017) [MSc-Prop]
Jialiang Yu, Carson K. Leung: Fast and scalable MapReduce-based vertical mining of uncertain big data (May 26, 2017) [MSc-Prop]
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. Research publication from University of Manitoba researchers, University of Manitoba, Winnipeg, MB, Canada (2017) [MSpace, CMUPress:CMUJNS_KKU-IENC16]
Deepankar Choudhery, Carson K. Leung: Forecast or prediction of viewership and sales numbers for big entertainment releases Predicting box office revenue with social media (April 2017) [Hons]
Carson K. Leung, Ian D.P. Smith: Rare pattern mining using rare pattern growth (April 2017) [Hons]
2016
Carson K. Leung, Aaron M. Peddle: Fast vertical mining of frequent patterns (December 2016) [Ind]
Carson Leung, Dongsheng Li, Yang Xiang, Jack Dongarra, Albert Zomaya, Laurence Yang: Message from HPCC2016 Chairs. IEEE HPCC-SmartCity-DSS 2016 (High performance computing and communications): xviii (December 12-14 2016)
Wonik Choi, Carson K. Leung, Young-Ho Park: Message from EDB 2016 Program Chairs. EDB 2016 (Emerging databases): vi (October 17-19 2016)
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) [SI for DaWaK14]
Peter Braun, Alfredo Cuzzocrea, Carson K. Leung, Adam G. M. Pazdor, Kimberly Tran: Knowledge discovery from social graph data. Research publication from University of Manitoba researchers, University of Manitoba, Winnipeg, MB, Canada (2016) [MSpace, Elsevier:JProCS-KES16]
Murun Enkhee, Carson K. Leung: Exploration of data science solutions for big data mining and analytics (August 2016) [UM-URA]
Carson K. Leung, Caitlin S. Martins: Predicting (e)Sports results using sentiment analysis on social media and prior game performance (August 2016) [Hons]
Kimberly Tran, Carson Kai-Sang Leung: Big data management and analytics (August 2016) [NSERC-USRA, WT1, Canada summer job #014117824]
1 more HQP [Canada summer job #014117824]
Xueqi Cheng, Yi Pan, Carson Leung: Message from the IEEE BigDataSE 2016 Program Chairs.IEEE TrustCom-BigDataSE-ISPA 2016 (Big data science and engineering): xxxv (August 23-26 2016) [Xplore]
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. KKU-IENC 2016 (vol. 6): 230 (August 02-05, 2016) [KKU-IENC 2016]
Didier El Baz, Julien Bourgeois, Christophe Cérin, Carson K. Leung: Message from the IEEE CBDCom 2016 General Chairs (Cloud and big data computing). IEEE UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld 2016: xli-xlii (July 18-21 2016)
Carson Leung: Delivery of scalable frequent mining for non-expert data miners. Human ethics protocol HS19791 (J2016:050) from Joint Faculty Research Ethics Board (2016Jun16-2021Jun16) [NSERC]
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) [SI for KES14]
Peter Braun, Carson K. Leung: A transportation mode classification system using GPS-, GIS- and accelerometer-data. (April 29, 2016) [MSc-Prop]
Wayne Xu, James Davie, Carson Leung, Michael Domaratzki, Yang Wang, Pingzhao Hu, Frank You (AAFC), Peter Rogan (UWO): Diverse genomic data integration pipeline program. Proposal for Genome Canada's 2015 Bioinformatics and Computational Biology Competition - operating grants (March 1, 2016)
Yoo-Sung Kim, Young-Koo Lee, Carson K. Leung: BigDAS 2016 (Big data applications and services) (January 22-27, 2016)
2015
Fan Jiang, Carson K. Leung: A data analytic algorithm for managing, querying, and processing uncertain big data in cloud environments. Research publication from University of Manitoba researchers, University of Manitoba, Winnipeg, MB, Canada (December 2015) [MSpace, MDPI:Algorithms15]
Shelby D. Bernhard, Carson K. Leung, Vanessa J. Reimer, Joshua Westlake: Clickstream prediction using sequential stream mining techniques with Markov chains. (December 2015) [Ind (VJR) & DM (SDB,JW)]
Hua Wang, Carson Leung, Jian Tang, Mohammad S. Obaidat, Mahmoud Daneshmand, Jianhua Ma, Laurence T. Yang: Message from iThings2015 Chairs (Internet of things). IEEE DSDIS (IEEE iThings) 2015: xxviii (December 11-13, 2015) [IEEE CSDL]
Hao Zhang, Carson K. Leung: Scalable vertical mining for big data analysis. (December 03, 2015) [MSc-Prop]
Yoo-Sung Kim, Young-Koo Lee, Carson K. Leung: Message from BigDAS 2015 Program Chairs (Big data applications and services). BigDAS 2015: x (October 20-23, 2015)
Zhao Han, Carson K. Leung: Delivering scalable frequent pattern mining for non-expert data miners. (September 21, 2015) [MSc-Prop]
Alfredo Cuzzocrea, Zhao Han, Fan Jiang, Carson K. Leung, Hao Zhang: Edge-based mining of frequent subgraphs from graph streams. Research publication from University of Manitoba researchers, University of Manitoba, Winnipeg, MB, Canada (2015) [MSpace, Elsevier:JProCS-KES15]
Alfredo Cuzzocrea, Carson K. Leung, Richard Kyle MacKinnon: Approximation to expected support of frequent itemsets in mining probabilistic sets of uncertain data. Research publication from University of Manitoba researchers, University of Manitoba, Winnipeg, MB, Canada (2015) [MSpace, Elsevier:JProCS-KES15]
Kyoji Kawagoe, Carson Kai-Sang Leung: Similarities of frequent following patterns and social entities. Research publication from University of Manitoba researchers, University of Manitoba, Winnipeg, MB, Canada (2015) [MSpace, Elsevier:JProCS-KES15]
Edson M. Dela Cruz, Carson K. Leung: Big data management, mining, and analytics (August 2015) [Sc-USRA, MB-CF, WT2]
Vijay Sekar Elango, Carson Leung: Big data mining and analytics (June-August 2015) [MITACS-Globalink]
Carson K. Leung, Aaron M. Peddle: Hybrid vertical mining algorithm (August 2015) [Hons]
Yinglong Xia, Carson K. Leung, Salvatore Distefano: Message from the CBDCom 2015 Program Chairs (Cloud and big data computing). IEEE UIC-ATC-ScalCom-CBDCom-IoP (IEEE CBDCom) 2015: xxxix (August 10-14, 2015)
Carson Leung: Big data mining and computing in a smart world. IEEE UIC-ATC-ScalCom-CBDCom-IoP (Cybermatics Forum Keynotes) 2015: ciii (August 13, 2015)
Nadia Khoshgoo, Carson Leung, Ali Ashtari: Management and mining of big energy sector data 2 (August 2015) [MITACS-Accelerate]
Nadia Khoshgoo, Carson Leung, Ali Ashtari: Management and mining of big energy sector data 1 (April 2015) [MITACS-Accelerate]
Michael D. Cook, Carson K. Leung: Utilizing data mining to predict IMDB movie ratings (April 2015) [Hons]
Alfredo Cuzzocrea, Fan Jiang, Carson K. Leung: Frequent subgraph mining from streams of linked graph structured data. Research publication from University of Manitoba researchers, University of Manitoba, Winnipeg, MB, Canada (2015) [MSpace, CEUR Workshop Proceedings:EDBT/ICDT15w (LWDM)]
Carson Leung, Nadia Khoshgoo: Management and mining of big energy sector data (Jan-Oct 2015) [Mitacs IT04844]
2014
Carson K. Leung, Adam G.M. Pazdor: Social network mining using bit strings (December 2014) [Hons]
Wookey Lee, Carson K.S. Leung, James Geller, Jinho Kim: Message from GSN Chairs (Graph databases and social networking). IEEE BDCloud (IEEE SocialCom - GSN) 2014: xxxiv (December 04, 2014) [IEEE CSDL]
Fan Jiang, Carson K. Leung: Efficient frequent pattern mining and its applications. (October 09, 2014) [PhD-Prop]
Fan Jiang, Carson K. Leung: Efficient frequent pattern mining and its applications: an extended version. (October 09, 2014) [PhD-Cand]
Dacheng Liu, Carson Leung: Mining interesting information from social networks. (June-September 2014) [MITACS-Globalink]
Richard Kyle MacKinnon, Carson K. Leung: Tree-based uncertain frequent pattern mining. (September 17, 2014) [MSc-Prop]
Peter Braun, Alfredo Cuzzocrea, Carson K. Leung, Richard Kyle MacKinnon, Syed K. Tanbeer: A tree-based algorithm for mining diverse social entities. Research publication from University of Manitoba researchers, University of Manitoba, Winnipeg, MB, Canada (2014) [MSpace, Elsevier:JProCS-KES14]
Carson K. Leung, Richard Kyle MacKinnon, Syed K. Tanbeer: Tightening upper bounds to the expected support for uncertain frequent pattern mining. Research publication from University of Manitoba researchers, University of Manitoba, Winnipeg, MB, Canada (2014) [MSpace, Elsevier:JProCS-KES14]
Peter Braun, Juan J. Cameron, Alfredo Cuzzocrea, Fan Jiang, Carson K. Leung: Effectively and efficiently mining frequent patterns from dense graph streams on disk. Research publication from University of Manitoba researchers, University of Manitoba, Winnipeg, MB, Canada (2014) [MSpace, Elsevier:JProCS-KES14]
Carson K. Leung, Kyle W. Joseph: Sports data mining: Predicting results for the college football games. Research publication from University of Manitoba researchers, University of Manitoba, Winnipeg, MB, Canada (2014) [MSpace, Elsevier:JProCS-KES14]
Levko Ivanchuk, Carson K. Leung: ConeViz: efficient and interactive 3D visualization of frequent patterns. (August 2014) [Hons]
Aaron M. Peddle, Carson K. Leung: Knowledge discovery from big data. (August 2014) [UM-URA]
Vanessa J. Reimer, Carson Kai-Sang. Leung: Mining interesting information from social networks. (August 2014) [NSERC-USRA]
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) [SI for ICA3PP11]
Carson Kai-Sang Leung, Richard Kyle MacKinnon, Fan Jiang: Reducing the search space for big data mining for interesting patterns from uncertain data: an extension. [SI for BigDataCongress14 in International Journal of Big Data (IJBD)]
Wookey Lee, Carson Leung, Cheng-Te Li, Ee-Peng Lim, Guandong Xu: PAKDD-SocNet 2014 (Data mining in social networks) (May 13, 2014)
Richard Kyle MacKinnon, Carson K. Leung: Tree-based frequent pattern mining from uncertain data. (May 2014) [NSERC-CGSM]
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) [SI for DASC-SCA11]
Juan J. Cameron, Alfredo Cuzzocrea, Fan Jiang, Carson K. Leung: Frequent pattern mining from dense graph streams. Research publication from University of Manitoba researchers, University of Manitoba, Winnipeg, MB, Canada (2014) [MSpace, CEUR Workshop Proceedings:EDBT/ICDT14w (GraphQ)]
Alfredo Cuzzocrea, Carson K. Leung, Syed K. Tanbeer: Mining of diverse social entities from linked data. Research publication from University of Manitoba researchers, University of Manitoba, Winnipeg, MB, Canada (2014) [MSpace, CEUR Workshop Proceedings:EDBT/ICDT14w (LWDM)]
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) [Ext of VAIT-11, IGI Global]
Wenzhu Tong, Carson Leung: Mining useful information from social network. (June-September 2013) [MITACS-Globalink]
Kyle W. Joseph, Carson K. Leung: Using past game results to predict college football bowl games. (August 2013) [Hons]
Richard Kyle MacKinnon, Carson K. Leung: Finding groups of friends who are significant across multiple domains in social networks. (August 2013) [Sc-USRA]
Irish J. M. Medina, Carson K. Leung: Big data management and mining. (August 2013) [UM-URA]
Marc Dion, Carson K. Leung: Music data mining. (April 2013) [Hons]
Carson K. Leung, Ruokun (Roy) Xing: Advanced analysis of agribusiness and agricultural economic data. (April 2013) [Hons]
Carson Leung: Using frequent itemset mining to build a recommendation system. Human ethics protocol HS16149 (J2013:043) from Joint Faculty Research Ethics Board (2013Mar15-2014Mar15) [NSERC]
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) [SI for DaWaK11]
Juan J. Cameron, Carson K. Leung: Using frequent itemset mining to build a recommendation system. (February 08, 2013) [MSc-Prop]
2012
Carson K. Leung, Ruokun (Roy) Xing: Management of agribusiness and agricultural economic data. (August 2012) [Ind]
Irish J. M. Medina, Carson K. Leung: Analyzing social networks to mine important friends. (August 2012) [UM-URA]
Christopher L. Carmichael, Carson K. Leung: Frequent pattern visualization. (August 07, 2012) [MSc-Prop]
Alfredo Cuzzocrea, Carson K. Leung: Frequent itemset mining of distributed uncertain data under user-defined constraints. Research publication from University of Manitoba researchers, University of Manitoba, Winnipeg, MB, Canada (2012) [MSpace, Edizioni Libreria Progetto-UniPD:SEBD 2012]
Sergio Camorlinga, Bruce D. Martin, Hossein Pourreza, Carson K. Leung: A platform for a distributed network of physicians providing a distributed health care delivery. (May 2012) [e-Health12]
Donald Hoang, Carson K. Leung: Efficient management and analysis of Northern Medical Unit (NMU) data 3. (April 2012) [Ind]
Patrick Johnstone, Carson K. Leung: DiffViz: frequent pattern visualization. (April 2012) [Ind]
Carson Kai-Sang Leung, Syed K. Tanbeer: Fast tree-based mining of frequent itemsets from uncertain data: an extension. [SI for DASFAA12 in Journal of Computing Science and Engineering (JCSE)]
Carson Kai-Sang Leung, Syed K. Tanbeer: Mining social networks for significant friend groups: an extension. [SI for DASFAA-SNSM12 in IJWET/IJSNM/SNAM/ WWW]
2011
Zhao Han, Carson K. Leung: Efficient management and analysis of Northern Medical Unit (NMU) data 2. (December 2011) [Ind]
Carson K. Leung, Li Jing Sun: A new class of constraints for constrained frequent pattern mining. (December 2011) [Hons]
Carson K. Leung, Li Jing Sun: Efficient management and analysis of Northern Medical Unit (NMU) data 1. (December 2011) [Ind]
Carson K. Leung, David Sonny Hung-Cheung Yuen: Efficient management and analysis of Northern Medical Unit (NMU) data 1. (December 2011) [Ind]
Fan Jiang, Carson K. Leung: Frequent itemset mining of uncertain data streams. (November 22, 2011) [MSc-Prop]
Sergio Camorlinga, David E. Fardoe, Carson K. Leung: Collaborative health care team platform. (December 2010, August 2011) [WT2, WT3]
Yaroslav Hayduk, Carson K. Leung: Mining frequent patterns from uncertain data with MapReduce. TR 11/02, Department of Computer Science, University of Manitoba, Winnipeg, MB, Canada. (August 03, 2011) [MSc-Prop]
Juan J. Cameron, Carson K. Leung: Mining frequent patterns from precise and uncertain data. Research publication from University of Manitoba researchers, University of Manitoba, Winnipeg, MB, Canada (2011) [MSpace, UniFacS:RSC]
Bhavek P. Budhia, Carson K. Leung: Mining probabilistic datasets vertically. (April 2011) [Hons]
Carson K. Leung, Katherine R. Sierks: Efficient management and analysis of Northern Medical Unit (NMU) data. (April 2011) [Ind]
Juan J. Cameron, Carson K. Leung: Mining frequent patterns from precise and uncertain data. TR 11/01, Department of Computer Science, University of Manitoba, Winnipeg, MB, Canada. [RSC11]
2010
Dale A. Brajczuk, Carson K. Leung: Mining frequent sequences in one database scan using distributed computers. TR 10/03, Department of Computer Science, University of Manitoba, Winnipeg, MB, Canada. (September 09, 2010) [MSc-Prop]
Lijing Sun, Carson Kai-Sang Leung: Mining frequent sets of items from uncertain data. (August 2010) [NSERC-USRA]
Bipin C. Desai, Carson K. Leung, Sudhir P. Mudur: Preface (Computer science & software engineering). C3S2E 2010: v (May 19-21, 2010)
Fan Jiang, Carson K. Leung: Data mining on non-static database with uncertain data. TR 10/02, Department of Computer Science, University of Manitoba, Winnipeg, MB, Canada. (April 2010) [Hons]
Carson K. Leung, Eu Wern Teh: SeaViz and DiffViz: seasonal data visualizer and data difference visualizer. TR 10/01, Department of Computer Science, University of Manitoba, Winnipeg, MB, Canada. (April 2010) [Hons]
Carson K. Leung, Lai Wan Wong: Advanced analysis of streaming data. (April 2010) [Hons]
Carson K. Leung, Lai Wan Wong: Management of streaming data. (April 2010) [Ind]
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-VAKD09]
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-U09]
Carson K. Leung, Olga Ormandjieva: Forward (Computer science & software engineering). C3S2E 2009: x (May 19-21, 2009)
Kevin T. Lambrech, Cody T. B. Lee, Carson K. Leung: Web data management 2. (August 2009) [Ind]
2008
Carson K. Leung, Shane R. Thiessen: Web data management 1. (December 2008) [Ind]
Carson K. Leung, Jialiang Yu: Implementation of efficient algorithms for stream mining of constrained frequent patterns in a limited memory environment. TR 09/01, Department of Computer Science, University of Manitoba, Winnipeg, MB, Canada. (December 2008) [Hons]
Boyu Hao, Carson K. Leung, Sergio Camorlinga: A computer-aided change detection system for paediatric acute intracranial haemorrhage. TR 08/03, Department of Computer Science, University of Manitoba, Winnipeg, MB, Canada. (December 15, 2008) [MSc-Prop]
Mark Anthony F. Mateo, Carson K. Leung, Asanobu Kitamoto, Andrew J. Nadler: Design and development of a prototype system for detecting abnormal weather observations. (August 2008) [JSPS]
Mark Mateo, Asanobu Kitamoto, Carson K. Leung: Time series image analysis for agricultural sensors: event detection task. Data integration and analysis system (DIAS) project, National Institute of Informatics (June 25-August 20, 2008) [JSPS:DIAS]
Mark Anthony F. Mateo, Carson K. Leung: A multi-layer quality control tool for weather-driven agricultural decision support models. TR 08/02, Department of Computer Science, University of Manitoba, Winnipeg, MB, Canada. (May 23, 2008) [MSc-Prop]
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. TRLabs publication (on medical informatics) W0199, TRLabs Winnipeg (May 12-13, 2008) [TRLabs, C3S2E08]
2007
Martin Reed, Carson Leung, Jens Wrogemann: Pediatric acute intracranial hemorrhage computer aided diagnosis project. Human ethics protocol HS10672 (H2007:231) from Health Research Ethics Board (2007Nov15-2008Nov15 and 2011May13-2012Oct31) [TRLabs/TRTech]
Sergio Camorlinga, Martin Reed, Carson Leung: CAD for pediatric brain trauma and progression. Project 2007EH005, TRLabs Winnipeg [TRLabs]
Sajid Hussain, Christel Kemke, Carson K. Leung: Message from the Program Chairs of KUPA 2007 (Knowledge management and discovery for ubiquitous and pervasive applications). DEXA Workshops (KUPA) 2007: 173-176 (September 07, 2007)
Zhiyu Wang, Carson K. Leung: Frequent itemset mining with limited memory space. TR 07/03, Department of Computer Science, University of Manitoba, Winnipeg, MB, Canada. (August 2007) [Sc-USRA]
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) [SI for ICDM05]
Carson K. Leung, Zhiyu Wang: Efficient frequent pattern mining with the inverted matrix growth algorithm. (April 2007) [Hons]
Mark Anthony Mateo, Carson Leung, Andrew J. Nadler: Efficient mining of agro-meteorological data. (April 2007) [MITACS]
Tariqul Hoque, Carson K. Leung: A constraint based interactive frequent pattern mining algorithm for large databases. TRLabs publication (on medical informatics) W0183, TRLabs Winnipeg (March 2007) [TRLabs, MSc]
Tariqul Hoque, Quamrul I. Khan, Carson K. Leung, Jeffrey E. Diamond: Efficient data mining for anomaly detection in health surveillance databases. (January 2007) [TRLabs]
2006
Christopher L. Carmichael, Carson K. Leung: FIsViz: a frequent itemset visualization tool. TR 07/02, Department of Computer Science, University of Manitoba, Winnipeg, MB, Canada. (December 2006) [Hons]
Carson K. Leung, Christopher L. Carmichael, Quamrul I. Khan, Zhan Li, Tariqul Hoque: Data mining system. [CASCON06]
Carson K. Leung: Database research group at University of Manitoba. [CanDB06]
Carson Kai-Sang Leung, Wookey Lee: GRIDFs: generalised referential integrity differential files for maintaining data warehouse views. TR 06/02, Department of Computer Science, University of Manitoba, Winnipeg, MB, Canada. [BNCOD06]
Carson Leung, Mark Mateo: Efficient mining of agro-meteorological data (Dec 15 2006-Oct 2007) [SFU (Mitacs): NCE]
Quamrul I. Khan, Carson K. Leung: Constraint-based frequent itemset mining from data streams. TRLabs publication (on medical informatics) W0157T, TRLabs Winnipeg (June 2006) [TRLabs, MSc]
Carson Leung: Manitoba weather project: Development of a potato late blight model (ManAgDSV) (May 2006-Apr 2007) [MASC]
Carson K. Leung, Yijie (Eric) Zhou: Constrained frequent pattern mining. (November 2005-March 2006)
2005
Quamrul Khan, Tariqul Hoque, Carson Leung, Jeff Diamond: Efficient data mining for anomaly detection in a distributed federation of health surveillance databases with privacy. Subscribed research project 2005DN001, TRLabs Winnipeg [TRLabs]
Tamara Munzner, Qiang Kong, Raymond T. Ng, Jordan Lee, Janek Klawe, Dragana Radulovic, Carson K. Leung: Visual mining of power sets with large alphabets. UBC CS TR-2005-25, Department of Computer Science, The University of British Columbia, Vancouver, BC, Canada. (December 25, 2005)
Tariqul Hoque, Carson K. Leung: A constraint based interactive frequent pattern mining algorithm for very large databases. TR 07/01, Department of Computer Science, University of Manitoba, Winnipeg, MB, Canada. (August 22, 2005) [MSc-Prop]
Carson K.-S. Leung, Ruppa K. Thulasiram, Dmitri A. Bondarenko: Using data mining techniques for detecting noises and pre-processing financial time series: an extension [SI of JCIS05 in Information Sciences (InS)]
Quamrul I. Khan, Carson K. Leung: Constraint-based frequent itemset mining from data streams. TR 05/04, Department of Computer Science, University of Manitoba, Winnipeg, MB, Canada. (June 13, 2005) [MSc-Prop]
Zhan Li, Carson K. Leung: Exploring the negation and disjunction of succinct constraints in tree-based frequent pattern mining. TR 05/01, Department of Computer Science, University of Manitoba, Winnipeg, MB, Canada. (April 28, 2005) [MSc-Prop]
Carson K.-S. Leung, Jelena Misic, Vojislav B. Misic, Yanni Ellen Liu: Wireless sensor network laboratory. CFI on-going new opportunities funded project (March 08, 2015) [CFI-NOF]
2004
Carson K. Leung: Database research group at The University of Manitoba. [CanDB04]
2003
Carson Kai-Sang Leung: DCF: an algorithm for dynamic constrained frequent-set computation. TR 04/09, Department of Computer Science, University of Manitoba, Winnipeg, MB, Canada. [TODS03]
2001
Carson Kai-Sang Leung, Raymond T. Ng, Heikki Mannila: The optimized segment support map for the mining of frequent patterns. UBC CS TR-2001-18, Department of Computer Science, The University of British Columbia, Vancouver, BC, Canada. (November 15, 2001) [ICDE02]