摘要：

       “Big data is the new oil.” Social media data opens the door for interdisciplinary research and allows researchers to collectively study large-scale human behavior otherwise impossible. The study of social media data brings out new challenges for machine learning and data mining. In this talk, we examine some critical issues related to big social media data such as how to make big data bigger, how to algorithmically evaluate the understandability of machine-learned topics from large text data, and how to obtain genuine information and get our questions answered in a noisy social media environment. We are certain that new research issues are awaiting more and richer data in our search of solutions; with more data and newer tools, we are better than ever equipped to answer challenging and novel research questions and advance data science. 

主讲人介绍：

     Dr. Huan Liu is a professor of Computer Science and Engineering at Arizona State University. He was recognized for excellence in teaching and research in Computer Science and Engineering at Arizona State University. His research interests are in data mining, machine learning, social computing, and artificial intelligence, investigating problems that arise in real-world applications with high-dimensional data of disparate forms. His well-cited publications include books, book chapters, encyclopedia entries, as well as conference and journal papers. He is a co-author of Social Media Mining: An Introduction by Cambridge University Press. He is a founding organizer of the International Conference Series on Social Computing, Behavioral-Cultural Modeling, and Prediction, and Chief Editor of Data Mining and Management in Frontiers in Big Data. He is a Fellow of IEEE. 

        该讲座是前沿讲座，欢迎全校师生踊跃参加。

计算机学院

校学术委员会

111引智基地

智能通信软件与多媒体北京市重点实验室