Data Streams: Models and Algorithms - Advances in Database Systems 31 (Paperback)Charu C. Aggarwal (editor)
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This book primarily discusses issues related to the mining aspects of data streams and it is unique in its primary focus on the subject.
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. The book 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.
Publisher: Springer-Verlag New York Inc.
Number of pages: 354
Weight: 581 g
Dimensions: 235 x 155 x 20 mm
Edition: 2007 ed.
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)
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