Topic：Mining user behaviors from sensing data

Date&Time：2015/9/25(五) 14:20

Speaker：彭文志 教授(交通大學資工所)

Location：清華大學台達館 R216

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.