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Querying and Mining Uncertain Data Streams

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Product Code: 9789813108776
ISBN13: 9789813108776
Condition: New
$125.22
Data uncertainty widely exists in many applications, and an uncertain data stream is a series of uncertain tuples that arrive rapidly. However, traditional techniques for deterministic data streams cannot be applied to deal with data uncertainty directly due to the exponential growth of possible solution space. This book provides a comprehensive overview of the authors' work on querying and mining uncertain data streams. Its contents include some important discoveries dealing with typical topics such as top-k query, ER-Topk query, rarity estimation, set similarity, and clustering. Querying and Mining Uncertain Data Streams is written for professionals, researchers, and graduate students in data mining and its various related fields.


Author: Cheqing Jin, Aoying Zhou
Publisher: East China Normal University S
Publication Date: Jul 14, 2016
Number of Pages: 148 pages
Language: English
Binding: Hardcover
ISBN-10: 9813108770
ISBN-13: 9789813108776

Querying and Mining Uncertain Data Streams

$125.22
 
Data uncertainty widely exists in many applications, and an uncertain data stream is a series of uncertain tuples that arrive rapidly. However, traditional techniques for deterministic data streams cannot be applied to deal with data uncertainty directly due to the exponential growth of possible solution space. This book provides a comprehensive overview of the authors' work on querying and mining uncertain data streams. Its contents include some important discoveries dealing with typical topics such as top-k query, ER-Topk query, rarity estimation, set similarity, and clustering. Querying and Mining Uncertain Data Streams is written for professionals, researchers, and graduate students in data mining and its various related fields.


Author: Cheqing Jin, Aoying Zhou
Publisher: East China Normal University S
Publication Date: Jul 14, 2016
Number of Pages: 148 pages
Language: English
Binding: Hardcover
ISBN-10: 9813108770
ISBN-13: 9789813108776
 

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