Development of a hybrid artificial neural network - naive bayes classifier for binary classification problem of imbalanced datasets
This paper presents a hybrid approach that consists of two different methods from machine learning technique, which are the Artificial Neural Network (ANN) and Naïve Bayes. The proposed technique is purposely developed for classifying the two classes of imbalanced datasets. Architecture of ANN is ba...
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Main Authors: | , , , , |
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Format: | Article |
Published: |
ICIC International
2011
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/28826/ http://www.ijicic.org/el-5(9)a.htm |
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