A Survey on Different Data Mining & Machine Learning Methods for Credit Card Fraud Detection

Authors(2) :-Vipul Patil, Dr. Umesh Kumar Lilhore

Due to rapid growth in field of cashless or digital transactions, credit cards are widely used in all around the world. Credit cards providers are issuing thousands of cards to their customers. Providers have to ensure all the credit card users should be genuine and real. Any mistake in issuing a card can be reason of financial crises. Due to rapid growth in cashless transaction, the chances of number of fraudulent transactions can also increasing. A Fraud transaction can be identified by analyzing various behaviors of credit card customers from previous transaction history datasets. If any deviation is noticed in spending behavior from available patterns, it is possibly of fraudulent transaction. Data mining and machine learning techniques are widely used in credit card fraud detection. In this survey paper we are presenting review of various data mining and machine learning methods which are widely used for credit card fraud detections.

Authors and Affiliations

Vipul Patil
M. Tech Scholar Department of CSE NIIST Bhopal, Madhya Pradesh, India
Dr. Umesh Kumar Lilhore
Head Department of CSE NIIST Bhopal, Madhya Pradesh, India

Data Mining, Machine Learning, Credit Card Fraud, Cashless Transactions.

  1. Kuldeep Randhawa, Chu kiong loo, manjeevan seera, chee peng lim, and asoke k. nandi," Credit Card Fraud Detection Using AdaBoost and Majority Voting", IEEE Access Volume 6, 2018, PP 14277-14285.
  2. N. Malini, Dr. M. Pushpa," Analysis on Credit Card Fraud Identification Techniques based on KNN and Outlier Detection", 3rd International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEEICB17), IEEE, PP 978-985.
  3. John O. Awoyemi, Adebayo O. Adetunmbi, Samuel A. Oluwadare,"Credit card fraud detection using Machine Learning Techniques: A Comparative Analysis", 2nd International conference on New IT trends 2017, IEEE, PP 978-988.
  4. B.Pushpalatha, C.Willson Joseph," Credit Card Fraud Detection Based on the Transaction by Using Data mining Techniques", International Journal of Innovative Research in Computer and Communication Engineering, Vol. 5, Issue 2, February 2017, PP 1785-1794.
  5. You Dai, Jin Yan, Xiaoxin Tang, Han Zhao and Minyi Guo," Online Credit Card Fraud Detection: A Hybrid Framework with Big Data Technologies", 2016 IEEE TrustCom/BigDataSE/ISPA, PP 1644-1653.
  6. T Nuno Carneiroa, Gonc¸alo Figueiraa,∗, Miguel Costab," A data mining based system for credit-card fraud detection in e-tail", Journal of DSS, Sep 2016, PP 1-11
  7. D. Viji, S. Kothbul Zeenath Banu,"An Improved Credit Card Fraud Detection Using K-Means Clustering Algorithm", International Journal of Engineering Science Invention (IJESI), One Day National Conference On"Internet Of Things The Current Trend In Connected World" NCIOT-2018, PP 59-64.
  8. Shivangi Sharma,Puneet Mitta,Geetika,"An Approach to Detect Credit Card Frauds using Attribute Selection and Ensemble Techniques", international Journal of Computer Applications, Volume 180, No. 21, February 2018, PP 1-6.
  9. S. K. Saravanan1, Dr. G. N. K. Suresh Babu," Literature Study Data Mining Techniques on Detecting Fradulent Activities in Credit Card", International Journal of Emerging Research in Management &Technology, Volume-6, Issue-10, PP 60-70.
  10. R. Mankame, S. Nikam and A. Gurav,"Using Data Mining Detection of Fraud in Transaction", International Journal of Engineering research Online, Vol. 5, No.2, pp. 152-156, 2017.
  11. S. Kumari and A. Choubey,"A Review on Various Techniques and Approaches for Credit Card Treachery Detection", International Journal of Scientific Research Engineering & Technology (IJSRET),Vol. 6, No. 5, pp. 485-489, 2017.
  12. B. Pushpalatha and C.W. Joseph,"Credit Card Treachery Detection Based on the Transaction by Using Data mining Techniques", International Journal of Innovative Research in Computer and Communication Engineering, Vol. 5, No. 2, pp. 1785-1793, 2017.
  13. Deepika .N and Roopa .H"Analyzing the CC (credit card) Treachery Detection using Data Mining Techniques", IJESE, Vol. 7, No. 6, pp. 12851-12854, 2017.
  14. M. Divya"Credit Card Treachery Detection Using HMM in Proposed Distributed Data Mining", International Journal of Advanced Research in Computer Science & Technology, Vol. 5, No. 1, pp. 49- 51, 2017. Ruchi Oberoi,"Credit – Card Fraud finding System: Using Genetic Algorithm", IJCMS, Vol. 6, No. 6, pp. 59-63, 2017.

Publication Details

Published in : Volume 3 | Issue 5 | May-June 2018
Date of Publication : 2018-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 320-325
Manuscript Number : CSEIT183565
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Vipul Patil, Dr. Umesh Kumar Lilhore , "A Survey on Different Data Mining & Machine Learning Methods for Credit Card Fraud Detection", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 5, pp.320-325, May-June-2018.
Journal URL : http://ijsrcseit.com/CSEIT183565

Article Preview

Follow Us

Contact Us