Diagnosis of Out-of-control Signals in Multivariate Statistical Process Control Based on Bagging and Decision Tree

Autor:	Hua-Ming Song, Jing Jiang
Rok vydání:	2017
Předmět:	Incremental decision tree Series (mathematics) business.industry Computer science Control (management) Decision tree General Medicine Machine learning computer.software_genre Ensemble learning Multivariate statistical process control Artificial intelligence Data mining business computer
Zdroj:	Asian Business Research. 2:1
ISSN:	2424-8983 2424-8479
DOI:	10.20849/abr.v2i2.147
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::986a2e338f4c71ee22fdca28fcd449a2 https://doi.org/10.20849/abr.v2i2.147 Zobrazit plný text záznamu