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A Novel Statistical Approach to Detect Card Frauds Using Transaction Patterns
Chae Chang LEE Ji Won YOON
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2015/03/01
Online ISSN: 1745-1361
Type of Manuscript: PAPER
Category: Information Network
pattern mining, fraud detection, autoregressive, Gaussian processes, association rule,
Full Text: PDF(1.1MB)
>>Buy this Article | Errata[Uploaded on April 1,2015]
In this paper, we present new methods for learning the individual patterns of a card user's transaction amount and the region in which he or she uses the card, for a given period, and for determining whether the specified transaction is allowable in accordance with these learned user transaction patterns. Then, we classify legitimate transactions and fraudulent transactions by setting thresholds based on the learned individual patterns.