Querying And Mining Uncertain Data Streams
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€110.99
A01=Aoying Zhou
A01=Cheqing Jin
Author_Aoying Zhou
Author_Cheqing Jin
Category=UN
Category=UNC
Category=UNF
Category=UY
Cluster
Data Mining
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Query Processing
Top-k
Uncertain Data Stream
Product details
- ISBN 9789813108776
- Publication Date: 14 Jul 2016
- Publisher: World Scientific Publishing Co Pte Ltd
- Publication City/Country: SG
- Product Form: Hardback
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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.
