Discovery And Fusion Of Uncertain Knowledge In Data
Regular price
€89.99
A01=Dapeng Tao
A01=Hao Wu
A01=Kun Yue
A01=Ming Gao
A01=Weiyi Liu
Author_Dapeng Tao
Author_Hao Wu
Author_Kun Yue
Author_Ming Gao
Author_Weiyi Liu
Bayesian Network
Category=PB
Category=UGK
Category=UNF
Category=UT
Data-Intensive Computing
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eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Fusion
Inference
Lineage
Uncertain Knowledge
Product details
- ISBN 9789813227125
- Publication Date: 16 Nov 2017
- Publisher: World Scientific Publishing Co Pte Ltd
- Publication City/Country: SG
- Product Form: Hardback
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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.
