Discovery And Fusion Of Uncertain Knowledge In Data
Author | : Kun Yue |
Publisher | : World Scientific |
Total Pages | : 224 |
Release | : 2017-09-28 |
ISBN-10 | : 9789813227156 |
ISBN-13 | : 981322715X |
Rating | : 4/5 (15X Downloads) |
Download or read book Discovery And Fusion Of Uncertain Knowledge In Data written by Kun Yue and published by World Scientific. This book was released on 2017-09-28 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.