Advances in Database Systems

Data Streams

Models and Algorithms

Editors: Aggarwal, Charu C. (Ed.)

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About this book

In recent years, the progress in hardware technology has made it possible for organizations to store and record large streams of transactional data.  Such data sets which continuously and rapidly grow over time are referred to as data streams.

Data Streams: Models and Algorithms primarily discusses issues related to the mining aspects of data streams rather than the database management aspect of streams. This volume covers mining aspects of data streams in a comprehensive style. Each contributed chapter, from a variety of well known researchers in the data mining field, contains a survey on the topic, the key ideas in the field from 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 graduate-level students in computer science.

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.

About the authors

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.

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)


Table of contents (12 chapters)

  • An Introduction to Data Streams

    Charu C. Aggarwal

    Pages 1-8

  • On Clustering Massive Data Streams: A Summarization Paradigm

    Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu

    Pages 9-38

  • A Survey of Classification Methods in Data Streams

    Mohamed Medhat Gaber, Arkady Zaslavsky, Shonali Krishnaswamy

    Pages 39-59

  • Frequent Pattern Mining in Data Streams

    Ruoming Jin, Gagan Agrawal

    Pages 61-84

  • Load Shedding in Data Stream Systems

    Brian Babcock, Mayur Datar, Rajeev Motwani

    Pages 127-147

Buy this book

eBook $149.00
price for USA
  • ISBN 978-0-387-47534-9
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Download immediately after purchase
Hardcover $189.00
price for USA
  • ISBN 978-0-387-28759-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $189.00
price for USA
  • ISBN 978-1-4614-9768-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.

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Bibliographic Information

Bibliographic Information
Book Title
Data Streams
Book Subtitle
Models and Algorithms
Editors
  • Charu C. Aggarwal
Series Title
Advances in Database Systems
Series Volume
31
Copyright
2007
Publisher
Springer US
Copyright Holder
Springer-Verlag US
eBook ISBN
978-0-387-47534-9
DOI
10.1007/978-0-387-47534-9
Hardcover ISBN
978-0-387-28759-1
Softcover ISBN
978-1-4614-9768-4
Series ISSN
1386-2944
Edition Number
1
Number of Pages
XVIII, 354
Topics