Data Streams - Models and Algorithms (Hardcover)

Data Streams: Models and Algorithms primarily discusses issues related to the mining aspects of 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 in a comprehensive style, in which each contributed chapter 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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Advances in Database Systems, 31
Release date:	November 2006
First published:	December 2006
Editors:	Charu C. Aggarwal
Dimensions:	235 x 155 x 22mm (L x W x T)
Format:	Hardcover
Pages:	354
ISBN-13:	978-0-387-28759-1
Categories:	Books > Computing & IT > Applications of computing > Databases > Data capture & analysis Promotions
LSN:	0-387-28759-0
Barcode:	9780387287591

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