Discovery And Fusion Of Uncertain Knowledge In Data
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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Discovery And Fusion Of Uncertain Knowledge In Data
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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Discovery And Fusion Of Uncertain Knowledge In Data

Discovery And Fusion Of Uncertain Knowledge In Data

Discovery And Fusion Of Uncertain Knowledge In Data

Discovery And Fusion Of Uncertain Knowledge In Data

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Overview

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.

Product Details

ISBN-13: 9789813227125
Publisher: World Scientific Publishing Company, Incorporated
Publication date: 11/16/2017
Series: East China Normal University Scientific Reports , #6
Pages: 224
Product dimensions: 6.00(w) x 9.00(h) x 0.56(d)
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