Description: Discovery and Fusion of Uncertain Knowledge in Data, Hardcover by Yue, Kun; Liu, Weiyi; Wu, Hao; Tao, Dapeng; Gao, Ming, ISBN 9813227125, ISBN-13 9789813227125, Brand New, Free shipping in the US Adopting Bayesian network as the framework of knowledge representation and inferences, the Chinese authors explore new approaches to uncertain knowledge discovery and fusion by incorporating the massive, distributed, uncertain, and dynamically changing characteristics concerned in data analysis applications. The book proposes a parallel and incremental approach for data-intensive learning by extending the classic scoring and search algorithm and using MapReduce, and develops semantics-preserving methods for the fusion of logical and probabilistic knowledge and that of time-series probabilistic knowledge. Annotation ©2018 Ringgold, Inc., Portland, OR ()
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Book Title: Discovery and Fusion of Uncertain Knowledge in Data
Publisher: World Industries Scientific Publishing Co Pte LTD
Publication Year: 2017
Subject: Databases / Data Mining
Number of Pages: Xx, 202 Pages
Publication Name: Discovery and Fusion of Uncertain Knowledge in Data
Language: English
Type: Textbook
Author: Kun Yue
Subject Area: Computers
Format: Hardcover
