DISCOVERY AND FUSION OF UNCERTAIN KNOWLEDGE IN DATA

Kun Yue, Weiyi Liu, Hao Wu, Dapeng Tao, Ming Gao

  • 出版商: World Scientific Pub
  • 出版日期: 2017-09-28
  • 售價: $3,530
  • 貴賓價: 9.5$3,354
  • 語言: 英文
  • 頁數: 224
  • 裝訂: Hardcover
  • ISBN: 9813227125
  • ISBN-13: 9789813227125
  • 海外代購書籍(需單獨結帳)

商品描述

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.

Readership: Graduate students, researchers and professionals in the field of artificial intelligence/machine learning and information sciences, especially in databases.