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Diagnosis of Out-of-control Signals in Multivariate Statistical Process Control Based on Bagging and Decision Tree
Asian Business Research
View Archive Info| Field | Value | |
| Title |
Diagnosis of Out-of-control Signals in Multivariate Statistical Process Control Based on Bagging and Decision Tree
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| Creator |
Jiang, Jing
Song, Hua-Ming |
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| Description |
In this paper, we propose an ensemble method based on bagging and decision tree to resolve the problem of diagnosing out-of-control signals in multivariate statistical process control. To classify the out-of-control signals, we obtain a series of classifiers through ensemble learning on decision tree. Then we will integrate the classification results of multiple classifiers to determine the final classification. The experimental results show that our method could improve the accuracy of classification and is superior to other methods in terms of diagnosing out-of-control signals in multivariate statistical process control.
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| Publisher |
July Press Pte. Ltd.
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| Contributor |
—
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| Date |
2017-05-16
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| Type |
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion Peer-reviewed Article |
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| Format |
application/pdf
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| Identifier |
http://journal.julypress.com/index.php/abr/article/view/147
10.20849/abr.v2i2.147 |
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| Source |
Asian Business Research; Vol 2, No 2 (2017); p1
2424-8983 2424-8479 |
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| Language |
eng
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| Relation |
http://journal.julypress.com/index.php/abr/article/view/147/141
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| Rights |
Copyright (c) 2017 Jing Jiang, Hua-Ming Song
http://creativecommons.org/licenses/by/4.0 |
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