Improving F-Score of the imbalance visualized pattern dataset for yield prediction robustness
In a non closed loop manufacturing process, a prediction model of the yield outcome can be achieved by visualizing the temporal historical data pattern generated from the inspection machine, discretize to visualized data patterns, and map them into machine learning algorithm.Our previous study shows...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
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2008
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| Online Access: | https://repo.uum.edu.my/id/eprint/2854/1/Megat_Norulazmi_Megat_Mohamed_Noor.pdf |
| _version_ | 1803624557549977600 |
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| author | Megat Mohamed Noor, Megat Norulazmi Jusoh, Shaidah |
| author_facet | Megat Mohamed Noor, Megat Norulazmi Jusoh, Shaidah |
| author_sort | Megat Mohamed Noor, Megat Norulazmi |
| collection | UUM |
| description | In a non closed loop manufacturing process, a prediction model of the yield outcome can be achieved by visualizing the temporal historical data pattern generated from the inspection machine, discretize to visualized data patterns, and map them into machine learning algorithm.Our previous study shows that combination of under-sampling and over sampling techniques unabel wider range of data sets where SMOTE+VDM and random under-sampling produced robust classifier performance of handling better with different batches of prediction test data.In this paper, the integration of K* entropy base similarity distance function with SMOTE, CNN+Tomek Links and the introduction of SMOTE and SMaRT (Synthetic Majority Replacement Technique)combination, has improved the classifiers F-Score robustness. |
| first_indexed | 2024-07-04T05:20:16Z |
| format | Conference or Workshop Item |
| id | uum-2854 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T05:20:16Z |
| publishDate | 2008 |
| record_format | dspace |
| spelling | uum-28542011-05-18T09:10:00Z https://repo.uum.edu.my/id/eprint/2854/ Improving F-Score of the imbalance visualized pattern dataset for yield prediction robustness Megat Mohamed Noor, Megat Norulazmi Jusoh, Shaidah QA Mathematics In a non closed loop manufacturing process, a prediction model of the yield outcome can be achieved by visualizing the temporal historical data pattern generated from the inspection machine, discretize to visualized data patterns, and map them into machine learning algorithm.Our previous study shows that combination of under-sampling and over sampling techniques unabel wider range of data sets where SMOTE+VDM and random under-sampling produced robust classifier performance of handling better with different batches of prediction test data.In this paper, the integration of K* entropy base similarity distance function with SMOTE, CNN+Tomek Links and the introduction of SMOTE and SMaRT (Synthetic Majority Replacement Technique)combination, has improved the classifiers F-Score robustness. 2008-10 Conference or Workshop Item NonPeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/2854/1/Megat_Norulazmi_Megat_Mohamed_Noor.pdf Megat Mohamed Noor, Megat Norulazmi and Jusoh, Shaidah (2008) Improving F-Score of the imbalance visualized pattern dataset for yield prediction robustness. In: 21st International CODATA Conference "Scientific Information for Society - from Today to the Future" , 5 - 8 October 2008, Kyiv, Ukraine. (Unpublished) http://www.codata.org/08conf/index.html |
| spellingShingle | QA Mathematics Megat Mohamed Noor, Megat Norulazmi Jusoh, Shaidah Improving F-Score of the imbalance visualized pattern dataset for yield prediction robustness |
| title | Improving F-Score of the imbalance visualized pattern dataset for yield prediction robustness |
| title_full | Improving F-Score of the imbalance visualized pattern dataset for yield prediction robustness |
| title_fullStr | Improving F-Score of the imbalance visualized pattern dataset for yield prediction robustness |
| title_full_unstemmed | Improving F-Score of the imbalance visualized pattern dataset for yield prediction robustness |
| title_short | Improving F-Score of the imbalance visualized pattern dataset for yield prediction robustness |
| title_sort | improving f score of the imbalance visualized pattern dataset for yield prediction robustness |
| topic | QA Mathematics |
| url | https://repo.uum.edu.my/id/eprint/2854/1/Megat_Norulazmi_Megat_Mohamed_Noor.pdf |
| work_keys_str_mv | AT megatmohamednoormegatnorulazmi improvingfscoreoftheimbalancevisualizedpatterndatasetforyieldpredictionrobustness AT jusohshaidah improvingfscoreoftheimbalancevisualizedpatterndatasetforyieldpredictionrobustness |