NDLI: Bound dynamic Bayesian network classifierfor enterprise operational risk evaluation

Content Provider	IEEE Xplore Digital Library
Author	Wang Shuang-Cheng Xu Guang-Lin Shao Jun
Copyright Year	2010
Description	Author affiliation: School of Accounting and Finance, Shanghai Lixin University of Commerce, 201620, China (Shao Jun) \|\| School of Mathematics & Information, Shanghai Lixin University of Commerce, 201620, China (Wang Shuang-Cheng; Xu Guang-Lin)
Abstract	The current risk evaluation method general presumes mutually independent indexes at the same level and realizes class evaluation by l weighing sum and interval division of the results. But in reality the indexes on the same level are not mutually independent and the relation bet different indexes is not linear. Through nodes ordering and local scoring, the thesis tries to set up the bound dynamic Bayesian network class Enterprise operational risk evaluation on the basis on such classifier can effectively avoid the aforesaid problems and provide new thoughts and met for intelligent and scientific risk evaluation of enterprise operation.
Starting Page	3793
Ending Page	3797
File Size	131318
Page Count	5
File Format	PDF
ISBN	9781424451814
DOI	10.1109/CCDC.2010.5498478
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-05-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Speech analysis Weather forecasting Cause effect analysis Finance Structure Learning Mathematics Intelligent networks Image analysis Bayesian methods Operational Risk Bound Dynamic Bayesian Network Mathematical model Risk Evaluation Business
Content Type	Text
Resource Type	Article

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