A PRISMA-driven systematic review of data mining methods used for defects detection and classification in the manufacturing industry
Abstract Paper aims This research aims to analyze the primary studies published in recent years focusing on defect detection or classification in manufacturing and extract information about frequently used data mining (DM) methods, their accuracy, strengths, and limitations. Originality Industrial...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Associação Brasileira de Engenharia de Produção (ABEPRO)
2022-01-01
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| Series: | Production |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132022000100401&lng=en&tlng=en |
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