Cheqing Jin & Aoying Zhou 
QUERYING AND MINING UNCERTAIN DATA STREAMS [PDF ebook] 

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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.

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Langue Anglais ● Format PDF ● Pages 164 ● ISBN 9789813142916 ● Taille du fichier 6.1 MB ● Maison d’édition World Scientific Publishing Company ● Lieu Singapore ● Pays SG ● Publié 2016 ● Téléchargeable 24 mois ● Devise EUR ● ID 4980635 ● Protection contre la copie Adobe DRM
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