Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1587/transinf.2014EDP7071 | IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS |
Keywords | Field | DocType |
pattern mining, fraud detection, autoregressive, Gaussian processes, association rule | Autoregressive model,Data mining,Computer science,Association rule learning,Gaussian process,Database transaction | Journal |
Volume | Issue | ISSN |
E98D | 3 | 1745-1361 |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chae Chang Lee | 1 | 1 | 0.82 |
| Ji Won Yoon | 2 | 112 | 23.94 |