Handling the Problem of Unbalanced Data Sets in the Classification of Technical Equipment States
Questions of handling unbalanced data considered in this article. As models for classification, PNN and MLP are used. Problem of estimation of model performance in case of unbalanced training set is solved. Several methods (clustering approach and boosting approach) considered as useful to deal with...
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| Formato: | Artigo |
| Idioma: | English |
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Anhalt University of Applied Sciences
2016-03-01
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| coleção: | Proceedings of the International Conference on Applied Innovations in IT |
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| Acesso em linha: | https://icaiit.org/paper.php?paper=4th_ICAIIT/S3_3 |