An Integrated Principal Component Analysis And Weighted Apriori-T Algorithm For Imbalanced Data Root Cause Analysis

An Integrated Principal Component Analysis And Weighted Apriori-T Algorithm For Imbalanced Data Root Cause Analysis

Root Cause Analysis (RCA) is often used in manufacturing analysis to prevent the reoccurrence of undesired events. Association rule mining (ARM) was introduced in RCA to extract frequently occur patterns, interesting correlations, associations or casual structures among items in the database. Howev...

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書目詳細資料
主要作者:	Ong, Phaik Ling
格式:	Thesis
語言:	English English
出版:	2016
主題:	Q Science (General) QA Mathematics
在線閱讀:	http://eprints.utem.edu.my/id/eprint/18350/1/An%20Integrated%20Principal%20Component%20Analysis%20And%20Weighted%20Apriori-T%20Algorithm%20For%20Imbalanced%20Data%20Root%20Cause%20Analysis.pdf http://eprints.utem.edu.my/id/eprint/18350/2/An%20Integrated%20Principal%20Component%20Analysis%20And%20Weighted%20Apriori-T%20Algorithm%20For%20Imbalanced%20Data%20Root%20Cause%20Analysis.pdf
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