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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...

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Main Authors: Megat Mohamed Noor, Megat Norulazmi, Jusoh, Shaidah
Format: Conference or Workshop Item
Language:English
Published: 2008
Subjects:
QA Mathematics
Online Access:http://repo.uum.edu.my/2854/1/Megat_Norulazmi_Megat_Mohamed_Noor.pdf
http://repo.uum.edu.my/2854/
http://www.codata.org/08conf/index.html
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spelling my.uum.repo.28542011-05-18T09:10:00Z http://repo.uum.edu.my/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 http://repo.uum.edu.my/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 (Unpublished) http://www.codata.org/08conf/index.html
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
language English
topic QA Mathematics
spellingShingle QA Mathematics
Megat Mohamed Noor, Megat Norulazmi
Jusoh, Shaidah
Improving F-Score of the imbalance visualized pattern dataset for yield prediction robustness
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.
format Conference or Workshop Item
author Megat Mohamed Noor, Megat Norulazmi
Jusoh, Shaidah
author_facet Megat Mohamed Noor, Megat Norulazmi
Jusoh, Shaidah
author_sort Megat Mohamed Noor, Megat Norulazmi
title 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_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_sort improving f-score of the imbalance visualized pattern dataset for yield prediction robustness
publishDate 2008
url http://repo.uum.edu.my/2854/1/Megat_Norulazmi_Megat_Mohamed_Noor.pdf
http://repo.uum.edu.my/2854/
http://www.codata.org/08conf/index.html
_version_ 1644278348308807680
score 13.211869

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