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...
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| التنسيق: | أطروحة |
| اللغة: | English English |
| منشور في: |
2016
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| الموضوعات: | |
| الوصول للمادة أونلاين: | 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 |
| الوسوم: |
إضافة وسم
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الانترنت
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.pdfhttp://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