Below is the uncorrected machine-read text of this chapter, intended to provide our own search engines and external engines with highly rich, chapter-representative searchable text of each book. Because it is UNCORRECTED material, please consider the following text as a useful but insufficient proxy for the authoritative book pages.
PROCESSING AGGREGATE QUERIES OVER CONTINUOUS DATA STREAMS 250 Johannes Gehrke Processing Aggregate Queries over Continuous Data Streams Abstract of Presentation Transcript of Presentation BIOSKETCH: Johannes Gehrke is an assistant professor in the Department of Computer Science at Cornell University. He obtained his PhD in computer science from the University of Wisconsin at Madison in 1999; his graduate studies were supported by a Fulbright fellowship and an IBM fellowship. Dr. Gehrke's research interests are in the areas of data mining, data stream processing, and distributed data management for sensor networks and peer-to-peer networks. He has received a National Science Foundation Career Award, an Arthur P.Sloan Fellowship, an IBM Faculty Award, and the Cornell College of Engineering James and Mary Tien Excellence in Teaching award. He is the author of numerous publications on data mining and database systems, and he co-authored the undergraduate textbook Database Management Systems (McGraw-Hill, 2002, currently in its third edition), used at universities all over the world. Dr. Gehrke has served as program co-chair of the 2001 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, tutorial chair for the 2001 IEEE International Conference on Data Mining, area chair for the Twentieth International Conference on Machine Learning, co-chair of the 2003 ACM SIGKDD Cup, and he is serving as Program co-chair of the 2004 ACM SIGKDD Conference. Dr. Gehrke has given courses and tutorials on data mining and data stream processing at international conferences and on Wall Street, and he has extensive industry experience as a technical advisor.
