Data Stream Management

Minos Garofalakis is a Member of Technical Staff at the Internet Management Research Department of Bell Labs, Lucent Technologies. He received his BSc in 1992 from the Computer Engineering and Informatics Dept. of the University of Patras (UOPCEID). He also spent the following year at UOPCEID as a post-graduate fellow. In the Fall of 1993, he joined the graduate program in Computer Sciences at the University of Wisconsin-Madison, where he received his MSc (1994) and PhD (1998). He joined Bell Labs in Murray Hill, NJ, in September 1998. Minos' current research interests lie in the areas of data streaming, approximate query processing, data mining, network management, and XML databases. His writings have appeared in a number of ACM and IEEE conferences and journals, and he has presented tutorials on data streaming and approximate query processing in the leading international database and data-mining conferences. He is a member of ACM and IEEE, and has served as a program committee member for several conferences in the database area, including ACM SIGMOD, VLDB, ACM SIGKDD, and IEEE ICDE. Johannes Gehrke is an Assistant Professor in the Department of Computer Science at Cornell University. He joined Cornell after completing his PhD at the University of Wisconsin-Madison in 1999. Johannes' research lies in the areas of data mining, database systems, and ubiquitous computing. The recipient of an Alfred P. Sloan Fellowship, a National Science Foundation Career Award, an IBM Faculty Award, and the Cornell College of Engineering James and Mary Tien Excellence in Teaching Award, Johannes is the author of numerous publications on data mining and database systems. Johannes is the co-author of the textbook "Database Management Systems" (current in its third edition), published by McGrawHill in 2002, which is used at universities all over the world. Johannes has given tutorials on data mining and data stream processing at several international conferences and on Wall Street, and he has participated in federal data mining activities organized by the National Academies and the Office of Science and Technology Policy of the President of the United States. Rajeev Rastogi is the Director of the Internet Management Research Department at Bell Labs, Lucent Technologies. He received the BTech degree in Computer Science from the Indian Institute of Technology, Bombay in 1988, and the MSc and PhD degrees in Computer Science from the University of Texas, Austin, in 1990 and 1993, respectively. He joined Bell Labs in Murray Hill, NJ, in 1993 and became a Distinguished Member of Technical Staff (DMTS) in 1998. Rajeev Rastogi is active in the field of databases and has served as a program committee member for several conferences in the area. He currently serves on the editorial board of IEEE Transactions on Knowledge and Data Engineering. His writings have appeared in a number of ACM and IEEE publications and other professional conferences and journals. His research interests include database systems, network management, storage systems and knowledge discovery. His most recent research has focused on the areas of network topology discovery, monitoring, configuration and provisioning, data mining, and high-performance transaction systems.

"This impressive volume ... covers both the theory and algorithms related to processing high-speed data streams. ... this is a very useful and well-written text that can be recommended for students, practitioners, and researchers alike. The subject matter fills in a range of details, starting from the basics (including related mathematical theorems) and progressing to describe recent developments along with adequate references to the existing literature and suggestions for future research." (Paparao Kavalipati, Computing Reviews, January, 2017)

• Part I: Introduction.- Part II: Computation of Basic Stream Synopses.- Part III: Mining Data Streams.- Part IV: Advanced Topics.- Part V: Systems and Architectures.- Part VI: Applications.