Utility-Driven Mining Techniques in Realistic Applications
Jerry Chun-Wei Lin

Speaker Event details

Jerry Chun-Wei Lin
Associate Professor,
School of Computer Science and Technology,
Harbin Institute of Technology

Date:

Time:

Venue:








14 August 2017, Monday

2.30pm to 3.30pm

Meeting Room 4-4, Level 4
School of Information Systems
Singapore Management University
80 Stamford Road
Singapore 178902

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Abstract

Data analytics is an interesting topic in recent decades since the implicit and potential information can be easily discovered, which can be used to help for decision-making. Specifically, utility-driven mining is an emerging issue since it considers the realistic situations to mine the required information. In this talk, I will highlight three utility-driven topics; for example, data-type part for handling varied datasets, constraint-based part to mine the required information with varied constraints, and the application part to update the discovered information without multiple database scans. Finally, I will talk about the developed system, which focuses on the utility-driven mining in real-life applications.

About the speaker

Jerry Chun-Wei Lin, received his PhD from Dept. of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan in 2010. He is currently working as an Associate Professor in School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), China and serving as the Distinguished Professor in Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, China. He has published more than 200 research papers in referred journals (83 SCI papers) and international conferences (more than 120 conference papers, such as ICDM, ECML-PKDD, ACM SAC, DEXA, DaWaK, PAKDD), as well as 15 patents (held and filed). His research interests include data mining, soft computing, artificial intelligence, social computing, multimedia and image processing, and privacy-preserving and security technologies. His google scholar citation is more than 1370 (h-index: 17). He serves as the Editor-in-Chief of Data Science and Pattern Recognition (DSPR) journal, Associate Editor-in-Chief of Journal of Internet Technology (JIT, SCI journal) and the Editorial Board Member of Intelligent Data Analysis (IDA, SCI journal). He is also the leader of the popular SPMF open-source data mining library, which has been cited in more than 500 research papers since 2010.

 
     
 
 
 
This research is supported by the National Research Foundation, Prime Minister's Office, Singapore under its International Research Centres in Singapore Funding Initiative.
 

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