Citation Style

    • ACM:

      • Mark Anthony F. Mateo and Carson Kai-Sang Leung. 2008. Design and development of a prototype system for detecting abnormal weather observations. In Proceedings of the 2008 C3S2E conference (C3S2E ’08). Association for Computing Machinery, New York, NY, USA, 45–59. DOI:https://doi.org/10.1145/1370256.1370264

      • Laks V. S. Lakshmanan, Carson Kai-Sang Leung, and Raymond T. Ng. 2000. The segment support map: scalable mining of frequent itemsets. SIGKDD Explor. Newsl. 2, 2 (Dec. 2000), 21–27. DOI:https://doi.org/10.1145/380995.381005

    • ASABE:

      • Applied Engineering in Agriculture. 35(4): 521-534. (doi: 10.13031/aea.13084) @2019

    • BioMed Central:

      • Pawliszak, T., Chua, M., Leung, C.K. et al. Operon-based approach for the inference of rRNA and tRNA evolutionary histories in bacteria. BMC Genomics 21, 252 (2020). https://doi.org/10.1186/s12864-020-6612-2

    • Elsevier:

      • Alfredo Cuzzocrea, Carson Kai-Sang Leung, Richard Kyle MacKinnon, Mining constrained frequent itemsets from distributed uncertain data, Future Generation Computer Systems, Volume 37, 2014, Pages 117-126, ISSN 0167-739X, https://doi.org/10.1016/j.future.2013.10.026. (http://www.sciencedirect.com/science/article/pii/S0167739X13002458)

    • IEEE:

      • W. Lee, C. K. -S. Leung and J. J. H. Lee, "Mobile Web Navigation in Digital Ecosystems Using Rooted Directed Trees," in IEEE Transactions on Industrial Electronics, vol. 58, no. 6, pp. 2154-2162, June 2011, doi: 10.1109/TIE.2010.2050292.

      • C. K. -S. Leung, R. T. Ng and H. Mannila, "OSSM: a segmentation approach to optimize frequency counting," Proceedings 18th International Conference on Data Engineering, San Jose, CA, USA, 2002, pp. 583-592, doi: 10.1109/ICDE.2002.994776.

    • IGI Global:

      • Leung, C. K., Carmichael, C. L., Johnstone, P., & Yuen, D. S. (2013). Interactive Visual Analytics of Databases and Frequent Sets. International Journal of Information Retrieval Research (IJIRR), 3(4), 120-140. doi:10.4018/ijirr.2013100107

      • Leung, C. K. (2009). Constraint-Based Association Rule Mining. In Wang, J. (Eds.), Encyclopedia of Data Warehousing and Mining, Second Edition (pp. 307-312). IGI Global. http://doi:10.4018/978-1-60566-010-3.ch049

    • IOS Press:

      • Leung, Carson K. et al. ‘Interactive Mining of Diverse Social Entities’. 1 Jan. 2016 : 97 – 111.

    • MDPI:

      • Jiang, F.; Leung, C.K. A Data Analytic Algorithm for Managing, Querying, and Processing Uncertain Big Data in Cloud Environments. Algorithms 2015, 8, 1175-1194.

    • SPIE:

    • Springer:

      • Leung C., Lee W., Song J.J. (2019) Information Technology-Based Patent Retrieval Models. In: Glänzel W., Moed H.F., Schmoch U., Thelwall M. (eds) Springer Handbook of Science and Technology Indicators. Springer Handbooks. Springer, Cham

      • Leung C.K., Jiang F., Poon T.W., Crevier PÉ. (2018) Big Data Analytics of Social Network Data: Who Cares Most About You on Facebook?. In: Moshirpour M., Far B., Alhajj R. (eds) Highlighting the Importance of Big Data Management and Analysis for Various Applications. Studies in Big Data, vol 27. Springer, Cham

      • Hoi C.S.H., Khowaja D., Leung C.K. (2019) Constrained Frequent Pattern Mining from Big Data Via Crowdsourcing. In: Lee W., Leung C. (eds) Big Data Applications and Services 2017. BIGDAS 2017. Advances in Intelligent Systems and Computing, vol 770. Springer, Singapore

      • Leung C.K. (2018) Data and Visual Analytics for Emerging Databases. In: Lee W., Choi W., Jung S., Song M. (eds) Proceedings of the 7th International Conference on Emerging Databases. Lecture Notes in Electrical Engineering, vol 461. Springer, Singapore

      • Cuzzocrea A., Leung C.K. (2016) Computing Theoretically-Sound Upper Bounds to Expected Support for Frequent Pattern Mining Problems over Uncertain Big Data. In: Carvalho J., Lesot MJ., Kaymak U., Vieira S., Bouchon-Meunier B., Yager R. (eds) Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU 2016. Communications in Computer and Information Science, vol 611. Springer, Cham

      • Leung CK. (2014) Uncertain Frequent Pattern Mining. In: Aggarwal C., Han J. (eds) Frequent Pattern Mining. Springer, Cham

      • Leung C.KS. (2009) Frequent Itemset Mining with Constraints. In: LIU L., ÖZSU M.T. (eds) Encyclopedia of Database Systems. Springer, Boston, MA

      • Leung, C.K., Khan, Q.I., Li, Z. et al. CanTree: a canonical-order tree for incremental frequent-pattern mining. Knowl Inf Syst 11, 287–311 (2007). https://doi.org/10.1007/s10115-006-0032-8

      • Leung C.KS. (2004) Dynamic FP-Tree Based Mining of Frequent Patterns Satisfying Succinct Constraints. In: Kuijpers B., Revesz P. (eds) Constraint Databases. CDB 2004. Lecture Notes in Computer Science, vol 3074. Springer, Berlin, Heidelberg

      • Leung KS., Ng R. (1998) Multiscale Similarity Matching for Subimage Queries of Arbitrary Size. In: Ioannidis Y., Klas W. (eds) Visual Database Systems 4 (VDB4). VDB 1998. IFIP — The International Federation for Information Processing. Springer, Boston, MA

    • Taylor & Francis:

      • Syed K. Tanbeer, Carson K. Leung & Juan J. Cameron (2014) Interactive Mining of Strong Friends from Social Networks and Its Applications in E-Commerce, Journal of Organizational Computing and Electronic Commerce, 24:2-3, 157-173, DOI: 10.1080/10919392.2014.896715

    • Wiley:

      • Leung, C. K.‐S., Jiang, F., Pazdor, A. G. M., and Peddle, A. M. (2016) Parallel social network mining for interesting ‘following’ patterns. Concurrency Computat.: Pract. Exper., 28:3994–4012. doi: 10.1002/cpe.3773.

      • Leung, C.K.‐S. (2011), Mining uncertain data. WIREs Data Mining Knowl Discov, 1: 316-329. doi:10.1002/widm.31

    • World Scientific: