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Knowledge integration methods for probabilistic knowledge-based systems /
紀錄類型:
書目-語言資料,印刷品 : 單行本
正題名/作者:
Knowledge integration methods for probabilistic knowledge-based systems // Van Tham Nguyen, Ngoc Thanh Nguyen, Trong Hieu Tran.
作者:
Nguyen, Van Tham.
其他作者:
Nguyen, Ngoc Thanh.
出版者:
Boca Raton :CRC Press,2023.
面頁冊數:
xi, 190 p. :ill. ;26 cm.
附註:
"A Chapman & Hall book."
標題:
Expert systems (Computer science) -
ISBN:
9781032232188
ISBN:
9781032233888
ISBN:
9781003277019
Knowledge integration methods for probabilistic knowledge-based systems /
Nguyen, Van Tham.
Knowledge integration methods for probabilistic knowledge-based systems /
Van Tham Nguyen, Ngoc Thanh Nguyen, Trong Hieu Tran. - 1st ed. - Boca Raton :CRC Press,2023. - xi, 190 p. :ill. ;26 cm.
"A Chapman & Hall book."
Includes bibliographical references (p. 171-185) and index.
Probabilistic knowledge-based systems -- Inconsistency measures for probabilistic knowledge bases -- Methods for restoring consistency in probabilistic knowledge bases -- Distance-based methods for integrating probabilistic knowledge bases -- Value-based method for integrating probabilistic knowledge bases -- Experiments and applications -- Conclusions and open problems.
"Knowledge-based systems and solving knowledge integrating problems have seen a great surge of research activity in recent years. This book provides a wide snapshot of building knowledge-based systems, inconsistency measures, methods for handling consistency, and methods for integrating knowledge bases. It also provides the mathematical background to solve problems of restoring consistency and problems of integrating probabilistic knowledge bases in the integrating process. The research results presented in the book can be applied in decision support systems, semantic web systems, multimedia information retrieval systems, medical imaging systems, cooperative information systems, and more. Knowledge Integration Methods will be useful for Computer Science graduates and Ph.D students, in addition to researchers and readers working on knowledge management and ontology interpretation"--
ISBN: 9781032232188NT3102
LCCN: 2022028082Subjects--Topical Terms:
153773
Expert systems (Computer science)
LC Class. No.: QA76.76.E95 / N4995 2022
Dewey Class. No.: 006.3/3
Knowledge integration methods for probabilistic knowledge-based systems /
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"Knowledge-based systems and solving knowledge integrating problems have seen a great surge of research activity in recent years. This book provides a wide snapshot of building knowledge-based systems, inconsistency measures, methods for handling consistency, and methods for integrating knowledge bases. It also provides the mathematical background to solve problems of restoring consistency and problems of integrating probabilistic knowledge bases in the integrating process. The research results presented in the book can be applied in decision support systems, semantic web systems, multimedia information retrieval systems, medical imaging systems, cooperative information systems, and more. Knowledge Integration Methods will be useful for Computer Science graduates and Ph.D students, in addition to researchers and readers working on knowledge management and ontology interpretation"--
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