和山数学论坛第95讲

一、主  题：Two Applications of Data Science: Twitter spammer detection and AlphaGo

二、主讲人：Pro. Wei Hu

三、时间：2016年5月25日，下午：15:00-16:00（周三）

四、地  点：闻理园A4-305室

摘要: The rapid growth of Twitter has triggered a dramatic increase in spam volume and sophistication. The abuse of certain Twitter components such as ‘‘hashtags’’, ‘‘mentions’’, and shortened URLs enables spammers to operate efficiently. These same features, however, may be a key factor in identifying new spam accounts as shown in previous studies. In this talk, I will explain the research we published in the journal of information sciences. Basically, we made three novel contributions. Firstly, previous studies have approached spam detection as a classification problem, whereas we view it as an anomaly detection problem. Secondly, 95 one-gram features from tweet text were introduced alongside the user information analyzed in previous studies. Finally, to effectively handle the streaming nature of tweets, two stream clustering algorithms, StreamKM++ and DenStream, were modified to facilitate spam identification.  My second topic of the talk is about AlphaGo, a computer program created by Google that can beat the world’s best human Go player. I will explain in detail the algorithms and math from the paper by the creators of AlphaGo published in Nature.

附个人简介：1985 – 1991, Lecturer of Mathematics Department of Mathematics Hangzhou Dianzi University; 2002 -- 2007, Associate Professor of Math and Computer Science Department of Mathematics and Computer Science Houghton College, New York; 2007 -- present, Full Professor of Math and Computer Science

Department of Mathematics and Computer Science Houghton College, New York. 

Major in Machine Learning , Networking , Big Data and Cloud Computing and so on. 

在国外重要学术期刊，发表学术论文60余篇。

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