With the advance of data gathering and communication technologies, it becomes increasingly possible to support real-time monitoring of large amount of information from diverse information sources. Examples include trade surveillance for security fraud and money laundering, network monitoring for intrusion detection, bio-surveillance for terrorist attacks, and various sensor network based monitoring applications. Data is viewed as a continuous stream in these kinds of applications. Problems such as data mining which have been widely studied for traditional data sets cannot be easily applied to the data stream domain. This is because the large volume of data arriving in a stream renders most algorithms too inefficient as most mining algorithms require multiple scans of data which is unrealistic for stream data. More importantly, the characteristics of the data stream can change over time and the evolving pattern needs to be captured. In this talk, I'll provide an overview, discuss the issues and focus on how to mine evolving data streams.
Bio
Dr. Philip S. Yu is the manager of the Software Tools and Techniques
group at the
Dr. Yu’s research interests include data mining, Internet
applications and technologies, database systems, multimedia systems,
parallel and distributed processing, disk arrays, computer architecture,
performance modeling and workload analysis. Dr. Yu has published more
than 340 papers in refereed journals and conferences. He holds or has
applied for more than 200
Dr. Yu is a Fellow of the ACM and a Fellow of the IEEE. He will become the Editor-in-Chief of IEEE Transactions on Knowledge and Data Engineering on Jan. 2001. He is an associate editor of ACM Transactions of the Internet Technology and also Knowledge and Information Systems Journal. He is a member of the IEEE Data Engineering steering committee. He also serves on the steering committee of IEEE Intl. Conference on Data Mining. He received an IEEE Region 1 Award for "promoting and perpetuating numerous new electrical engineering concepts".
Philip S. Yu received the B.S. Degree in E.E. from National Taiwan University, Taipei, Taiwan, the M.S. and Ph.D. degrees in E.E. from Stanford University, and the M.B.A. degree from New York University.