Big Data Analytics: Profiling User Preferences via
Mining Wi-Fi Logs

Prof. Arbee L.P. Chen

Speaker Event details

Prof. Arbee L.P. Chen
Chair Professor, Computer Science and Information Engineering
Asia University, Taiwan




13 September 2017, Wednesday

3pm to 4pm

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

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An approach to discovering user preferences via Wi-Fi logs from mobile devices was proposed. Wi-Fi logs are essentially of various information types and with noises. How to assess the information types, eliminate irrelevant information, and clean up the noises are therefore keys for profiling user preferences over Wi-Fi logs. In this talk, a data cleaning and information enrichment framework will be presented. A comprehensive experiment with real data will be also shown to demonstrate the effectiveness of the proposed framework.

About the speaker

Prof. Arbee L.P. Chen received a Ph.D. degree in computer engineering from the University of Southern California, USA, and is currently a Chair Professor of Computer Science and Information Engineering at Asia University, Taiwan, and a Professor of Computer Science at National Tsing Hua University, Taiwan, by joint appointment. Dr. Chen's current research interests include big data analytics, health informatics, and top-k queries. He has continuously served in various capacities for international conferences and journals.

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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