Text/Web Mining Tutorial
Title	New Challenges and Opportunities in Web Mining Domain
Description	1. Mining methods in the unstructured web-pages 2. Mining methods in the highly inter-related Web environment
Presenter	Zheng Chen (Researcher) Microsoft Research Asia 5F, Beijing Sigma Center, No. 49, Zhichun Road Haidian District, Beijing 100080, P.R.C zhengc@microsoft.com +86 (10) 6261-7711 X3190     Dr. Zheng Chen joined Microsoft Research, China in March 1999 to pursue his wide-ranging research interests in Machine Learning, Information Retrieval, Speech Recognition, Natural Language Processing, Multimedia information retrieval, personal information management, and Artificial intelligence. He received his bachelor's, master's and PH.D.'s engineering degrees in Computer Science Tsinghua University in 1994 and 1999.
Pre-requisites expected from participants	The tutorial is of interest for both researchers and practitioners of information retrieval, machine learning and data mining. Researchers will get a practical overview of new research problems from the point of view of real applications. Practitioners will get a better understanding of the specific problems of knowledge discovery and data mining when the data is text/web. A basic knowledge of machine learning and data mining is recommended.
Tutorial Slide	PDF file

　

Contact Tutorial Chair at the following address:

Dr. Wei-Ying Ma
AIRS2004 Tutorial Chair
Microsoft Research Asia
Sigma Centre, #49, Zhichun Road, Haidian District
Beijing, 100080, China
Email: wyma@microsoft.com
Tel: (86-10) 62617711 ext 3175