Description

Book Synopsis
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.

Querying And Mining Uncertain Data Streams

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A Hardback by Cheqing Jin, Aoying Zhou

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    View other formats and editions of Querying And Mining Uncertain Data Streams by Cheqing Jin

    Publisher: World Scientific Publishing Co Pte Ltd
    Publication Date: 14/07/2016
    ISBN13: 9789813108776, 978-9813108776
    ISBN10: 9813108770
    Also in:
    Databases / Data management

    Description

    Book Synopsis
    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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