Querying and Mining Uncertain Data Streams
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 |