Discovery and Fusion of Uncertain Knowledge in Data

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.

Product details

• Authors: Ming Gao, Weiyi Liu Hao Wu Kun Yue, Weiyi Liu Hao Wu Dapeng Tao & Kun Yue, Weiyi Liu, Dapeng Tao, Hao Wu, Kun Yue
• Publisher: World Scientific
• Languages: English
• Product format: Hardback
• Released: 28.09.2017
• EAN: 9789813227125
• ISBN: 978-981-3227-12-5
• No. of pages: 224
• Dimensions: 157 mm x 235 mm x 17 mm
• Weight: 482 g
• Series: East China Normal University S
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > IT