DISCOVERY AND FUSION OF UNCERTAIN KNOWLEDGE IN DATA

DISCOVERY AND FUSION OF UNCERTAIN KNOWLEDGE IN DATA

Autor: Ming Gao, Kun Yue, Weiyi Liu, Hao Wu, Dapeng Tao
Editorial: World Scientific Publishing Company
Fecha de publicación: 2017
ISBN: 9789813227125

Comprar el libro

0

Paga con Klarna
Garantía de devolución de 14 días
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.

También te podría gustar

Comprar el libro0