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Discovery And Fusion Of Uncertain Knowledge In Data eBook

by Wu Hao Wu, Gao Ming Gao, Tao Dapeng Tao, Liu Weiyi Liu e Yue Kun Yue
language: english
Publisher: WORLD SCIENTIFIC PUBLISHING COMPANY, September of 2017 ‧
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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 Data

by Wu Hao Wu, Gao Ming Gao, Tao Dapeng Tao, Liu Weiyi Liu e Yue Kun Yue

Property Description
ISBN: 9789813227156
Publisher: WORLD SCIENTIFIC PUBLISHING COMPANY
Release Date: September of 2017
Language: English
Pages: 224
Format: eBook
File Format and Compatibility:
Collection: East China Normal University Scientific Reports
Categories: eBooks in English > Computing > Other Applications
eBooks in English > Computing > Database
EAN: 9789813227156
Acessibilidade: Ver características de acessibilidade indicadas pelo editor