Selection of Objective Function For Imbalanced Classification: An Industrial Case Study

Abdul Rauf Khan, Henrik Schiøler, Murat Kulahci

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

Resumé

In this article we discuss the issue of selecting suitable objective function for Genetic Algorithm to solve an imbalanced classification problem. More precisely, first we discuss the need of specialized objective function to solve a real classification problem from our industrial partner and then we compare the results of our proposed objective function with commonly used candidates to serve this purpose. Our comparison is based on the analysis of real data collected during the quality control stages of the manufacturing process.
OriginalsprogEngelsk
Titel2017 22nd IEEE International Conference on Emerging Technologies & Factory Automation (EFTA)
ForlagIEEE
Publikationsdato2018
ISBN (Trykt)978-1-5090-6506-6
ISBN (Elektronisk)978-1-5090-6505-9
DOI
StatusUdgivet - 2018
BegivenhedIEEE Conference on Emerging Technologies & Factory Automation - Limassol, Cypern
Varighed: 12 sep. 201715 sep. 2017
https://www.etfa2017.org/

Konference

KonferenceIEEE Conference on Emerging Technologies & Factory Automation
LandCypern
ByLimassol
Periode12/09/201715/09/2017
Internetadresse
NavnI E E E International Conference on Emerging Technologies and Factory Automation. Proceedings
ISSN1946-0759

Fingerprint

Quality control
Genetic algorithms

Citer dette

Khan, A. R., Schiøler, H., & Kulahci, M. (2018). Selection of Objective Function For Imbalanced Classification: An Industrial Case Study. I 2017 22nd IEEE International Conference on Emerging Technologies & Factory Automation (EFTA) IEEE. I E E E International Conference on Emerging Technologies and Factory Automation. Proceedings https://doi.org/10.1109/ETFA.2017.8396223
Khan, Abdul Rauf ; Schiøler, Henrik ; Kulahci, Murat. / Selection of Objective Function For Imbalanced Classification : An Industrial Case Study. 2017 22nd IEEE International Conference on Emerging Technologies & Factory Automation (EFTA). IEEE, 2018. (I E E E International Conference on Emerging Technologies and Factory Automation. Proceedings).
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Khan, AR, Schiøler, H & Kulahci, M 2018, Selection of Objective Function For Imbalanced Classification: An Industrial Case Study. i 2017 22nd IEEE International Conference on Emerging Technologies & Factory Automation (EFTA). IEEE, I E E E International Conference on Emerging Technologies and Factory Automation. Proceedings, IEEE Conference on Emerging Technologies & Factory Automation, Limassol, Cypern, 12/09/2017. https://doi.org/10.1109/ETFA.2017.8396223

Selection of Objective Function For Imbalanced Classification : An Industrial Case Study. / Khan, Abdul Rauf; Schiøler, Henrik; Kulahci, Murat.

2017 22nd IEEE International Conference on Emerging Technologies & Factory Automation (EFTA). IEEE, 2018. (I E E E International Conference on Emerging Technologies and Factory Automation. Proceedings).

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

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Khan AR, Schiøler H, Kulahci M. Selection of Objective Function For Imbalanced Classification: An Industrial Case Study. I 2017 22nd IEEE International Conference on Emerging Technologies & Factory Automation (EFTA). IEEE. 2018. (I E E E International Conference on Emerging Technologies and Factory Automation. Proceedings). https://doi.org/10.1109/ETFA.2017.8396223