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Application of Basic Machine-Learning Classifiers for Automatic Anomaly Detection in Shewhart Control Charts

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Published in:Decision Making in Manufacturing and Services
Format: Online Article RSS Article
Published: 2024
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container_title Decision Making in Manufacturing and Services
description
discipline_display Manufacturing and Technology
discipline_facet Manufacturing and Technology
format Online Article
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genre Journal Article
id rss_article:63406
institution FRELIP
journal_source_facet Decision Making in Manufacturing and Services
publishDate 2024
publishDateSort 2024
record_format rss_article
spellingShingle Application of Basic Machine-Learning Classifiers for Automatic Anomaly Detection in Shewhart Control Charts
Manufacturing and Technology
General
Manufacturing and Technology
sub_discipline_display General
sub_discipline_facet General
subject_display Manufacturing and Technology
General
Manufacturing and Technology
Manufacturing and Technology
General
Manufacturing and Technology
subject_facet Manufacturing and Technology
General
Manufacturing and Technology
title Application of Basic Machine-Learning Classifiers for Automatic Anomaly Detection in Shewhart Control Charts
title_auth Application of Basic Machine-Learning Classifiers for Automatic Anomaly Detection in Shewhart Control Charts
title_full Application of Basic Machine-Learning Classifiers for Automatic Anomaly Detection in Shewhart Control Charts
title_fullStr Application of Basic Machine-Learning Classifiers for Automatic Anomaly Detection in Shewhart Control Charts
title_full_unstemmed Application of Basic Machine-Learning Classifiers for Automatic Anomaly Detection in Shewhart Control Charts
title_short Application of Basic Machine-Learning Classifiers for Automatic Anomaly Detection in Shewhart Control Charts
title_sort application of basic machine-learning classifiers for automatic anomaly detection in shewhart control charts
topic Manufacturing and Technology
General
Manufacturing and Technology
url https://journals.agh.edu.pl/dmms/article/view/6345