Mining user behaviours from sensing data
Seminar Title: Mining user behaviours from sensing data
Speaker: Professor Wen-Chih Peng, Department of Computer Science, National Chiao Tung University, Taiwan
Date and Time: 10 April, 2015, 3:00 – 4:00pm
Seminar Room: UTS Building 11, Level 4, Room 102 (CB11.04.102)
Seminar Chairman: Professor Longbing Cao (firstname.lastname@example.org)
Abstract: Recent advances in wireless and embedded technologies usher in a new era for our lives. It is expected that an increasing number of small and inexpensive wireless devices (referred to as sensor nodes) are deployed for monitoring various measurements. Many applications of wireless sensor networks have been proposed such as field data collection, remote monitoring and control, smart home, factory automation and security. In this talk, there are three types of sensing data mentioned in this talk: Sensing data from sensor networks, sensing data from social media and sensing data from smart devices. According to three types of sensor data, I will briefly present some frameworks of mining user behaviors. These frameworks aim at discovering trajectory patterns, mobile apps. usage patterns and appliance usage patterns.
About the Speaker:
Wen-Chih Peng was born in Hsinchu, Taiwan, R.O.C in 1973. He received the BS and MS degrees from the National Chiao Tung University, Taiwan, in 1995 and 1997, respectively, and the Ph.D. degree in Electrical Engineering from the National Taiwan University, Taiwan, R.O.C in 2001. Currently, he is a professor at the department of Computer Science, National Chiao Tung University, Taiwan. Dr. Peng published some papers in several prestigious conferences, such as ACM International Conference on Knowledge Discovery and Data Mining (ACM KDD), IEEE International Conference on Data Mining (ICDM) and ACM International Conference on Information and Knowledge Management (ACM CIKM) and prestigious journals (e.g., IEEE TKDE, IEEE TMC, IEEE TPDS). Dr. Peng has the best paper award in ACM Workshop on location-based social network 2009 and the best student paper award in IEEE International Conference on Mobile Data Management 2011. His research interests include mobile data management, sensor data management and data mining. He is a member of IEEE.