Handling imbalanced dataset using SVM and k-NN approach
Data mining classification methods are affected when the data is imbalanced, that is, when one class is larger than the other class in size for the case of a two-class dependent variable. Many new methods have been developed to handle imbalanced datasets. In handling a binary classification task, Su...
| Published in: | AIP Conference Proceedings |
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| Main Author: | |
| Format: | Conference paper |
| Language: | English |
| Published: |
American Institute of Physics Inc.
2016
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84984550446&doi=10.1063%2f1.4954536&partnerID=40&md5=1831061d4fefe8f88c4cc686c646a113 |