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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| Format: | Article |
| Language: | English |
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Anhalt University of Applied Sciences
2016-03-01
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| Series: | Proceedings of the International Conference on Applied Innovations in IT |
| Subjects: | |
| Online Access: | https://icaiit.org/paper.php?paper=4th_ICAIIT/S3_3 |
| _version_ | 1827925246803443712 |
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| author | Obukhov Egor |
| author_facet | Obukhov Egor |
| author_sort | Obukhov Egor |
| collection | DOAJ |
| description | 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 the problem of input data. |
| first_indexed | 2024-03-13T05:23:03Z |
| format | Article |
| id | doaj.art-2397b3a59bf042c886b95a6f58738117 |
| institution | Directory Open Access Journal |
| issn | 2199-8876 |
| language | English |
| last_indexed | 2024-03-13T05:23:03Z |
| publishDate | 2016-03-01 |
| publisher | Anhalt University of Applied Sciences |
| record_format | Article |
| series | Proceedings of the International Conference on Applied Innovations in IT |
| spelling | doaj.art-2397b3a59bf042c886b95a6f587381172023-06-15T10:36:34ZengAnhalt University of Applied SciencesProceedings of the International Conference on Applied Innovations in IT2199-88762016-03-0141777910.25673/5785Handling the Problem of Unbalanced Data Sets in the Classification of Technical Equipment StatesObukhov Egor0Perm National Research Polytechnic University - Electrotechnical Department Komsomolsky Ave. 29, 614990, Perm, Russia 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 the problem of input data.https://icaiit.org/paper.php?paper=4th_ICAIIT/S3_3unbalanced dataprobabilistic neural netmultilayer perceptronclassificationevaluation of performancepreparation of data |
| spellingShingle | Obukhov Egor Handling the Problem of Unbalanced Data Sets in the Classification of Technical Equipment States Proceedings of the International Conference on Applied Innovations in IT unbalanced data probabilistic neural net multilayer perceptron classification evaluation of performance preparation of data |
| title | Handling the Problem of Unbalanced Data Sets in the Classification of Technical Equipment States |
| title_full | Handling the Problem of Unbalanced Data Sets in the Classification of Technical Equipment States |
| title_fullStr | Handling the Problem of Unbalanced Data Sets in the Classification of Technical Equipment States |
| title_full_unstemmed | Handling the Problem of Unbalanced Data Sets in the Classification of Technical Equipment States |
| title_short | Handling the Problem of Unbalanced Data Sets in the Classification of Technical Equipment States |
| title_sort | handling the problem of unbalanced data sets in the classification of technical equipment states |
| topic | unbalanced data probabilistic neural net multilayer perceptron classification evaluation of performance preparation of data |
| url | https://icaiit.org/paper.php?paper=4th_ICAIIT/S3_3 |
| work_keys_str_mv | AT obukhovegor handlingtheproblemofunbalanceddatasetsintheclassificationoftechnicalequipmentstates |