Overview
- Unique in its primary focus on data streams
- Includes data streams that perform real-time fraud detection
- Includes supplementary material: sn.pub/extras
Part of the book series: Advances in Database Systems (ADBS, volume 31)
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Table of contents (15 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Data Streams: Models and Algorithms primarily discusses issues related to the mining aspects of data streams. Recent progress in hardware technology makes it possible for organizations to store and record large streams of transactional data. For example, even simple daily transactions such as using the credit card or phone result in automated data storage, which brings us to a fairly new topic called data streams.
This volume covers mining aspects of data streams comprehensively: each contributed chapter contains a survey on the topic, the key ideas in the field for that particular topic, and future research directions.
Data Streams: Models and Algorithms is intended for a professional audience composed of researchers and practitioners in industry. This book is also appropriate for advanced-level students in computer science.
Reviews
From the reviews:
"This book is the very first attempt to record the challenges and present the solutions currently adopted to deal with the data streams. … All chapters are written by prominent researchers in the field … which makes the material in the book invaluable. This book is mainly intended for researchers, graduate students, and developers in industry. … This book will be very useful for researchers or practitioners in the field of data streams, despite the fast growth of this field. Overall, we highly recommend it." (Yannis Manolopoulos and Maria Kontaki, Computing Reviews, January, 2008)
Editors and Affiliations
About the editor
Charu C. Aggarwal obtained his B.Tech in Computer Science from IIT Kanpur in 1993 and Ph.D. from MIT in 1996. He has been a Research Staff Member at IBM since then, and has published over 90 papers in major conferences and journals in the database and data mining field. He has applied for or been granted over 50 US and International patents, and has twice been designated Master Inventor at IBM for the commercial value of his patents. He has been granted 14 invention achievement awards by IBM for his patents. His work on real time bio-terrorist threat detection in data streams won the IBM Epispire award for environmental excellence in 2003. He has served on the program committee of most major database conferences, and was program chair for the Data Mining and Knowledge Discovery Workshop, 2003, and a program vice-chair for the SIAM Conference on Data Mining, 2007. He is an associate editor of the IEEE Transactions on Data Engineering and an action editor of the Data Mining and Knowledge Discovery Journal. He is a senior member of the IEEE.
Bibliographic Information
Book Title: Data Streams
Book Subtitle: Models and Algorithms
Editors: Charu C. Aggarwal
Series Title: Advances in Database Systems
DOI: https://doi.org/10.1007/978-0-387-47534-9
Publisher: Springer New York, NY
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag US 2007
Hardcover ISBN: 978-0-387-28759-1Published: 27 November 2006
Softcover ISBN: 978-1-4614-9768-4Published: 20 November 2014
eBook ISBN: 978-0-387-47534-9Published: 03 April 2007
Series ISSN: 1386-2944
Edition Number: 1
Number of Pages: XVIII, 354
Topics: Data Mining and Knowledge Discovery, Artificial Intelligence, Database Management, Information Storage and Retrieval, Multimedia Information Systems, Computer Communication Networks