Discovery And Fusion Of Uncertain Knowledge In Data (Hardcover)

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.

General

Imprint:	World Scientific Publishing Co Pte Ltd
Country of origin:	Singapore
Series:	East China Normal University Scientific Reports, 6
Release date:	November 2017
First published:	2018
Authors:	Kun Yue • Weiyi Liu • Hao Wu • Dapeng Tao • Ming Gao
Dimensions:	159 x 236 x 22mm (L x W x T)
Format:	Hardcover
Pages:	224
ISBN-13:	978-981-3227-12-5
Categories:	Books > Computing & IT > Applications of computing > Databases > Data mining
LSN:	981-3227-12-5
Barcode:	9789813227125

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