主题：MiningSocial and Urban Big Data

时间：12月30日（星期二）14：30

地点：沙河校区学院楼4#320会议室

报告人：袁晶博士（Dr. Nicholas Jing Yuan），微软亚洲研究院  数据管理、分析与服务组  副研究员

Nicholas (Jing) Yuan is currently an associate researcher in MicrosoftResearch Asia. He got a Ph.D degree in Computer Science from the School ofComputer Science and Technology in 2012, and a B.S. degree in Mathematics fromthe School of the Gifted Young in 2007, both in University of Science andTechnology of China. Currently, his research interests include behavioral datamining, spatial-temporal data mining and computational social science. Duringthe past few years, Nicholas has published a series of papers in top-tierconferences and journals. His work has been featured by influential media suchas MIT Technology Review many times. He has been honored with MicrosoftFellowship (2011), Best Paper Award of IEEE International Conference on DataMining (2013), Best Paper Runner-up Award of ACM SIGSPATIAL (2010), and Top 100Distinguished Doctoral Dissertation Award of Chinese Academy of Sciences(2013).  

报告摘要：

In recent years, with the rapid development of positioning, online socialnetworks, sensor and smart device technologies, large quantities of humanbehavioral data are now readily available.The growing availability of such behavioral data provides us anunprecedented opportunity to gain more in depth understanding of users in both thephysical world and cyber world, especially in online social networks. Theoverwhelming behavioral data also reflects city dynamics from different anglesand dimensions. This talk will introduce the recent research efforts in socialand urban mining based on large-scale human behavioral datasets showcased bytwo projects: 1) Modeling urban lifestyle spectrums based on heterogeneousonline social network data. 2) Discovering urban functional zones using humanmobility data and points of interest.