Mining Mobile Big Data
Date: 20 April 2016 (Wednesday)
Title: Mining Mobile Big Data
Speaker: Jun Luo, Lenovo HK R&D
With widespread usage of mobile phones, handheld GPS devices and so on, more and more data are generated by those devices. We can process those data and mine out valuable information in order to have deep understanding of users, devices and apps which in turn helps us develop better services, devices and apps. In this presentation, I will talk about several real industrial cases of mobile big data mining and present some interesting results.>
Biography of the Speaker:
Jun Luo received his PhD degree in computer science from the University of Texas at Dallas, USA, in 2006. Then he spent two years as postdoc in Utrecht University, the Netherlands. Before he joined Lenovo Big Data lab in Hong Kong as senior researcher, he was a researcher in Huawei Noah's Ark Lab in Hong Kong and an associate professor in Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences. His research interests include data mining and algorithm analysis. He has published over 80 journal and conference papers in these areas. He has also led teams in big data analysis for several industrial projects such as bank and mobile data analysis.