报告会题目：Two Applications of Data Science: Twitter spammer detection and AlphaGo，
研讨会题目：Find ways to apply deep reinforcement learning-从ApphaGo谈起
主讲人：胡伟教授，Math and Computer Science, Houghton College, NY, USA
报告会题目：Two Applications of Data Science: Twitter spammer detection and AlphaGo
Professor of Math and Computer Science
Houghton College, NY, USA
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.
Dr. Wei Hu came to Houghton as an Assistant Professor of Math and Computer Science in 1997. He was a faculty member at Hangzhou Dianzi University in China from 1985 to 1991 before coming to the United States in 1991. He loves teaching; his life dream since early childhood was to become a teacher. He has taught 35 different math and computer science courses at Houghton, and also enjoys doing research with his students. His current research interests are bioinformatics, social networks, big data, cloud computing, and data science. Since 2009, he has published over 50 peer-reviewed papers in different areas including HIV, cancer research, influenza, and social networks, as well as Bible studies.