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Data Streams: Models and Algorithms
Contributor(s): Aggarwal, Charu C. (Editor)
ISBN: 0387287590     ISBN-13: 9780387287591
Publisher: Springer
OUR PRICE:   $161.49  
Product Type: Hardcover - Other Formats
Published: November 2006
Qty:
Annotation: 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.


Additional Information
BISAC Categories:
- Computers | Databases - General
- Computers | Programming - Algorithms
Dewey: 005.74
LCCN: 2006934111
Series: Advances in Database Systems
Physical Information: 1.04" H x 6.42" W x 9.52" (1.64 lbs) 380 pages
 
Descriptions, Reviews, Etc.
Publisher Description:

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.