出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Through a cost matrix and a combination of classifiers, this work identifies the most economicalmodel to perform the detection of suspected cases of fraud in a dataset of automobile claims.The experiments performed by this work show that working more deeply in sampled data in thetraining phase and test phase of each classifier is possible obtain a more economic model thanother model presented in the literature.
关键词：Fraud Detection; Multi Classifier; Data Mining.
