
Discovery And Fusion Of Uncertain Knowledge In Data
World Scientific Publishing Co Pte Ltd
Published on 16. November 2017
Book
Hardback
224 pages
978-981-322-712-5 (ISBN)
Description
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.
More details
Series
Language
English
Place of publication
Singapore
Singapore
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 235 mm
Width: 157 mm
Thickness: 17 mm
Weight
482 gr
ISBN-13
978-981-322-712-5 (9789813227125)
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Schweitzer Classification
Persons
Author
Yunnan Univ, China
Yunnan Univ, China
Yunnan Univ, China
Yunnan Univ, China
East China Normal Univ, China