Dealing with missing usage data in defect prediction: A case study of a welding supplier-Reference-Cited by-同舟云学术

Dealing with missing usage data in defect prediction: A case study of a welding supplier

Published:2021-11 Issue: Volume:132 Page:103505
ISSN:0166-3615
Container-title:Computers in Industry
language:en
Short-container-title:Computers in Industry

Author:

Gashi Milot^ORCID,Ofner Patrick^ORCID,Ennsbrunner Helmut,Thalmann Stefan^ORCID

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference65 articles.

1. Mining association rules between sets of items in large databases;Agrawal;Proceedings of the 1993 ACM SIGMOD International Conference on Management of Data,1993

2. A review on condition-based maintenance optimization models for stochastically deteriorating system;Alaswad;Reliab. Eng. Syst. Saf.,2017

3. Manufacturing quality prediction using intelligent learning approaches: a comparative study;Bai;Sustainability,2018

4. Balancing training data for automated annotation of keywords: a case study;Batista,2003

5. Random forests;Breiman;Mach. Learn.,2001

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