Name
Abstract | ||
|---|---|---|
With the popularization of online shopping, transaction fraud is growing seriously. Therefore, the study on fraud detection is interesting and significant. An important way of detecting fraud is to extract the behavior profiles (BPs) of users based on their historical transaction records, and then to verify if an incoming transaction is a fraud or not in view of their BPs. Markov chain models are ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TCSS.2018.2856910 | IEEE Transactions on Computational Social Systems |
Keywords | Field | DocType |
Markov processes,Computational modeling,Anomaly detection,Consumer electronics,Credit cards,Technological innovation,Cultural differences | Data mining,Anomaly detection,Markov process,Stochastic matrix,Logical graph,Computer science,Markov chain,Database transaction,Entropy (information theory),The Internet | Journal |
Volume | Issue | ISSN |
5 | 3 | 2329-924X |
Citations | PageRank | References |
1 | 0.36 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lutao Zheng | 1 | 7 | 1.82 |
| GuanJun Liu | 2 | 176 | 26.24 |
| Chun-Gang Yan | 3 | 62 | 15.97 |
| Changjun Jiang | 4 | 1350 | 117.57 |