Conditional Weighted Transaction Aggregation for Credit Card Fraud Detection-Reference-Cited by-同舟云学术

Conditional Weighted Transaction Aggregation for Credit Card Fraud Detection

Published:2014 Issue: Volume: Page:3-16
ISSN:0302-9743
Container-title:Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
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Author:

Lim Wee-Yong,Sachan Amit,Thing Vrizlynn

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-662-44952-3_1

Reference10 articles.

1. E. Aleskerov, B. Freisleben and B. Rao, Cardwatch: A neural network based database mining system for credit card fraud detection, Proceedings of the IEEE/IAFE Conference on Computational Intelligence for Financial Engineering, pp. 220–226, 1997.

2. S. Bhattacharyya, J. Sanjeev, K. Tharakunnel and J. Westland, Data mining for credit card fraud: A comparative study, Decision Support Systems, vol. 50(3), pp. 602–613, 2011.

3. R. Chen, S. Luo, X. Liang and V. Lee, Personalized approach based on SVM and ANN for detecting credit card fraud, Proceedings of the International Conference on Neural Networks and the Brain, vol. 2, pp. 810–815, 2005.

4. M. Ester, H. Kriegel, J. Sander and X. Xu, A density-based algorithm for discovering clusters in large spatial databases with noise, Proceedings of the Second International Conference on Knowledge Discovery and Data Mining, pp. 226–231, 1996.

5. S. Ghosh and D. Reilly, Credit card fraud detection with a neural network, Proceedings of the Twenty-Seventh Hawaii International Conference on System Sciences, vol. 3, pp. 621–630, 1994.

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