JOURNAL ARTICLE

Multiple perspectives HMM-based feature engineering for credit card fraud detection

Abstract

Machine learning and data mining techniques have been used extensively in order to detect credit card frauds. However, most studies consider credit card transactions as isolated events and not as a sequence of transactions.

Keywords:
Credit card fraud Credit card Feature engineering Computer science Hidden Markov model Feature (linguistics) Order (exchange) Computer security Artificial intelligence World Wide Web Finance Business Deep learning Payment

Metrics

36
Cited By
3.07
FWCI (Field Weighted Citation Impact)
4
Refs
0.93
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Imbalanced Data Classification Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence
Financial Distress and Bankruptcy Prediction
Social Sciences →  Business, Management and Accounting →  Accounting
Artificial Intelligence in Law
Social Sciences →  Social Sciences →  Political Science and International Relations

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