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Book Synopsis
Data analysis is of upmost importance in the mining of big data, where knowledge discovery and inference are the basis for intelligent systems to support the real world applications. However, the process involves knowledge acquisition, representation, inference and data, Bayesian network (BN) is the key technology plays a key role in knowledge representation, in order to pave way to cope with incomplete, fuzzy data to solve the real-life problems.This book presents Bayesian network as a technology to support data-intensive and incremental learning in knowledge discovery, inference and data fusion in uncertain environment.

Discovery And Fusion Of Uncertain Knowledge In

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A Hardback by Kun Yue, Weiyi Liu, Hao Wu

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    Publisher: World Scientific Publishing Co Pte Ltd
    Publication Date: 16/11/2017
    ISBN13: 9789813227125, 978-9813227125
    ISBN10: 9813227125
    Also in:
    Data mining

    Description

    Book Synopsis
    Data analysis is of upmost importance in the mining of big data, where knowledge discovery and inference are the basis for intelligent systems to support the real world applications. However, the process involves knowledge acquisition, representation, inference and data, Bayesian network (BN) is the key technology plays a key role in knowledge representation, in order to pave way to cope with incomplete, fuzzy data to solve the real-life problems.This book presents Bayesian network as a technology to support data-intensive and incremental learning in knowledge discovery, inference and data fusion in uncertain environment.

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