Fraud Prediction in Smart Societies Using Logistic Regression and k-fold Machine Learning Techniques

Author:

Mishra Kamta Nath,Pandey Subhash Chandra

Funder

Birla Institute of Scientific Research

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Science Applications

Reference48 articles.

1. Aleskerov, E., Freisleben, B., & Rao, B. (1997). CARDWATCH: A neural network-based database mining system for credit card fraud detection. In Proceedings of the IEEE/IAFE on computational intelligence for financial engineering (pp. 220–226).

2. Anderson, R. (2007). The credit scoring toolkit: Theory and practice for retail credit risk management and decision automation. Oxford University Press.

3. APACS, Association for Payment Cleaning Services, no date. Card Fraud Facts and Figures. Retrieved February 2020, from http://www.apacs.org.uk/resources_publications/card_fraud_facts_and_figures.html.

4. Bellis, M. Who Invented Credit Cards-the History of Credit Cards. Retrieved February 2020, from http://inventors.about.com/od/cstartinventions/a/credit_cards.htm.

5. Retrieved March 2020, from http://mlg.ulb.ac.be.

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