Discovery and Fusion of Uncertain Knowledge in Data eBook

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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.

This is a digital product.

Discovery and Fusion of Uncertain Knowledge in Data is written by Kun Yue; Weiyi Liu; Hao Wu; Dapeng Tao; Ming Gao and published by World Scientific. The Digital and eTextbook ISBNs for Discovery and Fusion of Uncertain Knowledge in Data are 9789813227156, 981322715X and the print ISBNs are 9789813227125, 9813227125. Additional ISBNs for this eTextbook include 9789813227149.