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Subject
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Bayes-Statistik 1 Bayesian classification rough sets 1 Bayesian confirmation rough sets 1 Bayesian inference 1 Confirmation-theoretic rough sets 1 Data mining 1 Decision 1 Decision theory 1 Decision-theoretic rough sets 1 Entscheidung 1 Entscheidungstheorie 1 Probabilistic rough setss 1 local peculiarity factor 1 local peculiarity oriented mining 1 outlier detection 1 peculiarity factor 1
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Undetermined 2
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Article 2
Type of publication (narrower categories)
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Article in journal 1 Aufsatz in Zeitschrift 1
Language
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English 1 Undetermined 1
Author
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WANG, JUE 1 YANG, JIAN 1 YAO, YIYU 1 Yao, Yiyu 1 ZHONG, NING 1 Zhou, Bing 1
Published in...
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European journal of operational research : EJOR 1 International Journal of Information Technology & Decision Making (IJITDM) 1
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ECONIS (ZBW) 1 RePEc 1
Showing 1 - 2 of 2
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Two Bayesian approaches to rough sets
Yao, Yiyu; Zhou, Bing - In: European journal of operational research : EJOR 251 (2016) 3, pp. 904-917
Persistent link: https://www.econbiz.de/10011449021
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LOCAL PECULIARITY ORIENTED DATA MINING AND ITS APPLICATION IN OUTLIER DETECTION
YANG, JIAN; ZHONG, NING; YAO, YIYU; WANG, JUE - In: International Journal of Information Technology & … 11 (2012) 06, pp. 1155-1181
Peculiarity oriented mining (POM), aimed at discovering peculiarity rules hidden in a dataset, is a data mining method. Peculiarity factor (PF) is one of the most important concepts in POM. In this paper, it is proved that PF can accurately characterize the peculiarity of data sampled from a...
Persistent link: https://www.econbiz.de/10010598521
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