Corpus ID: 17873403

Application of Evolutionary Data Mining Algorithms to Insurance Fraud Prediction

@inproceedings{LiuApplicationOE,
  title={Application of Evolutionary Data Mining Algorithms to Insurance Fraud Prediction},
  author={Jenn-Long Liu and Chien-Liang Chen}
}
This study proposes two kinds of Evolutionary Data Mining (EvoDM) algorithms to the insurance fraud prediction. One is GA-Kmeans by combining K-means algorithm with genetic algorithm (GA). The other is MPSO-Kmeans by combining K-means algorithm with Momentum-type Particle Swarm Optimization (MPSO). The dataset used in this study is composed of 6 attributes with 5000 instances for car insurance claim. These 5000 instances are divided into 4000 training data and 1000 test data. Two different… Expand
4 Citations

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