An Unbalanced Data Classification Model Using Hybrid Sampling Technique for Fraud Detection
作者： T. Maruthi Padmaja , Narendra Dhulipalla , P. Radha Krishna , Raju S. Bapi , A. Laha
DOI: 10.1007/978-3-540-77046-6_43
关键词: Radial basis function 、 Unbalanced data 、 Machine learning 、 Majority class 、 Insurance fraud 、 Computer science 、 Naive Bayes classifier 、 Artificial intelligence 、 Classifier (UML) 、 Data mining
摘要: … the dataset is unbalanced where non-fraudulent class heavily dominates the fraudulent class. In this work, we considered the fraud detection problem as unbalanced data classification …
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