Carson K.-S. Leung

Carson K.-S. LeungCarson K. Leung received his B.Sc. (Hons.), M.Sc., and Ph.D. degrees all from the University of British Columbia, Vancouver, Canada. He is currently a Professor at the University of Manitoba, Canada. He has contributed more than 160 refereed publications on the topics of big data analytics, databases, data mining, information science and technology, social network analysis, as well as visual analytics---including papers in ACM Transactions on Database Systems (TODS), Future Generation Computer Systems (FGCS), Journal of Organizational Computing and Electronic Commerce, Social Network Analysis and Mining, World Wide Web Journal (WWW), IEEE International Conference on Data Engineering (ICDE), IEEE International Conference on Data Mining (ICDM), the SCA 2012 Best Paper on social computing and its applications, the IEEE/ACM ASONAM-FAB 2016 Best Paper on foundations and applications of big data analytics, as well as five book chapters and encyclopedia entries for IGI Global. In recent years, he has served as a General Chair for IEEE CBDCom 2016, a Program Chair for IEEE BigDataSE 2016 & IEEE HPCC 2016, the Finance Chair for IEEE DSAA 2016, as well as a Web Chair for IEEE BigComp 2017.

Publications

Big Data Analytics and Mining for Knowledge Discovery
Carson K. Leung. © 2022. 14 pages.
Big data analytics and mining aims to discover implicit, previously unknown, and potentially useful information and knowledge from big data sets that contain huge volumes of...
Big Data Analytics and Mining for Knowledge Discovery
Carson K. Leung. © 2021. 14 pages.
Big data analytics and mining aims to discover implicit, previously unknown, and potentially useful information and knowledge from big data sets that contain huge volumes of...
Big Data Analysis and Mining
Carson K.-S. Leung. © 2019. 13 pages.
Big data analysis and mining aims to discover implicit, previously unknown, and potentially useful information and knowledge from big databases that contain high volumes of...
An HSV-Based Visual Analytic System for Data Science on Music and Beyond
Carson K.S. Leung, Yibin Zhang. © 2019. 16 pages.
In the current era of big data, high volumes of a wide variety of valuable data—which may be of different veracities—can be easily generated or collected at a high speed in...
Big Data Analysis and Mining
Carson K.-S. Leung. © 2018. 11 pages.
As new forms of information science and technology, big data analysis and mining aims to discover implicit, previously unknown, and potentially useful information and knowledge...
Association Rule Mining in Collaborative Filtering
Carson K.-S. Leung, Fan Jiang, Edson M. Dela Cruz, Vijay Sekar Elango. © 2017. 21 pages.
Collaborative filtering uses data mining and analysis to develop a system that helps users make appropriate decisions in real-life applications by removing redundant information...
Interactive Visual Analytics of Big Data
Carson K.-S. Leung, Christopher L. Carmichael, Patrick Johnstone, Roy Ruokun Xing, David Sonny Hung-Cheung Yuen. © 2017. 26 pages.
High volumes of a wide variety of data can be easily generated at a high velocity in many real-life applications. Implicitly embedded in these big data is previously unknown and...
Big Data Mining and Analytics
Carson Kai-Sang Leung. © 2014. 10 pages.
Analyzing Social Networks to Mine Important Friends
Carson K.-S. Leung, Irish J. M. Medina, Syed K. Tanbeer. © 2013. 15 pages.
The emergence of Web-based communities and social networking sites has led to a vast volume of social media data, embedded in which are rich sets of meaningful knowledge about...
Interactive Visual Analytics of Databases and Frequent Sets
Carson K.S. Leung, Christopher L. Carmichael, Patrick Johnstone, David Sonny Hung-Cheung Yuen. © 2013. 21 pages.
In numerous real-life applications, large databases can be easily generated. Implicitly embedded in these databases is previously unknown and potentially useful knowledge such as...
iVAS: An Interactive Visual Analytic System for Frequent Set Mining
Carson Kai-Sang Leung, Christopher Carmichael. © 2011. 19 pages.
Nowadays, various data, text, and web mining applications can easily generate large volumes of data. Embedded within these data is previously unknown and potential useful...
Constraint-Based Association Rule Mining
Carson Kai-Sang Leung. © 2009. 6 pages.
The problem of association rule mining was introduced in 1993 (Agrawal et al., 1993). Since then, it has been the subject of numerous studies. Most of these studies focused on...