| 1 | Title of the Article | Credit Card Fraud Analysis And Detection |
| 2 | Author's name | Rahul V, Thakare: Computer Engg, Mumbai University/ ACPCE,Kharghar, India. Rahul.thakare01@gmail.com |
| 3 | Author's name | Prof. N. P. Chawande |
| 4 | Subject | Computer Science & Engineering |
| 5 | Keyword(s) | Credit Card Fraud, Rule-based filter, Dempster-Shafer theory, Bayesian learner, Transactional History Database. |
| 6 | Abstract | Due to the rise and rapid growth of E-Commerce, use of credit cards for online purchases has dramatically increased and it caused an explosion in the credit card fraud. As credit card becomes the most popular mode of payment for both online as well as regular purchase, case of the fraud associated with it are also rising. The main objective of this paper is to construct an efficient fraud detection system which is useful for both online and regular purchase. In this proposed fraud detection system, the sequence of operation performed based on rules and probability of input action and compares each transaction with transactional history database. |
| 7 | Publisher | Innovative Research Publication |
| 8 | Journal Name; vol., no. | International Journal of Innovative Research in Computer Science & Technology (IJIRCST); Volume-2 Issue-4 |
| 9 | Publication Date | July 2014 |
| 10 | Type | Peer-reviewed Article |
| 11 | Format | |
| 12 | Uniform Resource Identifier | https://ijircst.org/view_abstract.php?title=Credit-Card-Fraud-Analysis-And-Detection&year=2014&vol=2&primary=QVJULTkx |
| 13 | Digital Object Identifier(DOI) | |
| 14 | Language | English |
| 15 | Page No | 65-68 |