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10.1109/DBTA.2009.170guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
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Research on Credit Card Fraud Detection Model Based on Similar Coefficient Sum

Published: 25 April 2009 Publication History

Abstract

This paper analyses the causes that give rise to the risk of credit fraud and presents an anomaly detection method by using an outlier detection model based on similar coefficient sum. It finds fraud record by computing similar coefficient sum of every two objects and an example is given to validate the model. The result show the feasibility and validity of the method. The research work furnishes a basis for further study of applying outlier to the analysis and prediction of deception risks.

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  • (2018)Ensemble learning for credit card fraud detectionProceedings of the ACM India Joint International Conference on Data Science and Management of Data10.1145/3152494.3156815(289-294)Online publication date: 11-Jan-2018

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cover image Guide Proceedings
DBTA '09: Proceedings of the 2009 First International Workshop on Database Technology and Applications
April 2009
698 pages
ISBN:9780769536040

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IEEE Computer Society

United States

Publication History

Published: 25 April 2009

Author Tags

  1. credit card
  2. fraud detection
  3. outlier
  4. similar coefficient sum

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Cited By

View all
  • (2018)Ensemble learning for credit card fraud detectionProceedings of the ACM India Joint International Conference on Data Science and Management of Data10.1145/3152494.3156815(289-294)Online publication date: 11-Jan-2018

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