好色tv

报告人：吴信东——Computer Science，University of Vermont题 目：Error-Tolerant Data Mining时 间：2013年7月18日（周四）下午16：00地 点：9教北609

摘要:

Data mining seeks to discover novel and actionable knowledge hidden in data. As dealing with large, noisy data is a defining characteristic for data mining, where the noise in a data source comes from, whether the noisy items are randomly generated (random noise) or they comply with some types of generative models (systematic noise), and how we use these data errors to boost the succeeding mining process and generate better results, are all important and challenging issues that existing data mining algorithms can not yet directly solve.Consequently,systematic research efforts in bridging the gap between the data errors and the available mining algorithms are needed to provide an accurate understanding of the underlying data and to produce enhanced mining results for imperfect, real-world information sources. This talk presents our recent investigations on bridging the data and knowledge gap in mining noisy information sources.

Xindong Wu's Biography Xindong Wu is a Professor {C}of Computer Science at the University of Vermont (USA), a Yangtze River Scholar {C} in the School of Computer Science and Information Engineering at the Hefei University of Technology (China), and a Fellow of the IEEE and the AAAS. {C} He holds a PhD in Artificial Intelligence from the University of Edinburgh, Britain. His research interests include data mining, knowledge-based systems, and Web information exploration. He has published over 280 refereed papers in these areas in various journals and conferences, including IEEE TPAMI, TKDE, ACM TOIS, DMKD, KAIS, IJCAI, AAAI, ICML, KDD, ICDM, and WWW, as well as 33 books and conference proceedings. {C} His research has been supported by the U.S. National Science Foundation (NSF), the U.S. Department of Defense (DOD), the National Natural Science Foundation of China (NSFC), and the Ministry of Science and Technology of China, as well as industrial companies including Microsoft Research, U.S. West Advanced Technologies and Empact Solutions.