International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Since Year 2012 | Open Access | Double Blind Reviewed

ISSN: 2319-7064




Downloads: 112

Research Paper | Computer Science & Engineering | India | Volume 5 Issue 11, November 2016


Customer Retention and Fraud Detection for Credit Card

Ajinkya Pathak | Rohan Aney | Soham Baheti


Abstract: In todays digital world banking sector has reached every business, every small business and households in multiple forms from loans to credit cards to Fixed Deposits. It is very crucial for a bank to analyses its customer purchases and to interpret the trends to enhance the customer base and retain existing customers. There are various strategies for customer retention, the modern day banks use latest IT tools to capture and interpret the data for customer attributes. The present project deals with developing a decision tree program to gain a rough estimate on whether a customer with particular attribute would be profitable for the bank in the long term. For a manager Visualization tools are also provided to help facilitate a much better understanding of its customers. The project also addresses a very vital aspect of fraud detection and offers a suitable program for the same. Fraud detection is not only essential for the bank but lowest level of fraud will enhance customers confidence in the transactions with the bank. The program is based on genetic algorithms for Fraud detection. This program can be incorporated dynamically (i. e. Real time) on any system thus making it more agile and effective.


Keywords: Banking tools, Data Classification, Genetic algorithms, Visualization tools


Edition: Volume 5 Issue 11, November 2016,


Pages: 1284 - 1286


How to Cite this Article?

Ajinkya Pathak, Rohan Aney, Soham Baheti, "Customer Retention and Fraud Detection for Credit Card", International Journal of Science and Research (IJSR), Volume 5 Issue 11, November 2016, pp. 1284-1286, https://www.ijsr.net/get_abstract.php?paper_id=ART20163068

How to Share this Article?

Enter Your Email Address




Similar Articles with Keyword 'Data Classification'

Downloads: 3

Research Paper, Computer Science & Engineering, India, Volume 10 Issue 10, October 2021

Pages: 214 - 218

A Recognition System for Handwritten Digits Using CNN

Ayesha Siddiqa | Chakrapani D S

Share this Article

Downloads: 105

Survey Paper, Computer Science & Engineering, India, Volume 4 Issue 12, December 2015

Pages: 1715 - 1717

Survey Paper on Fault Detection in Sensor Data

Vidya D. Omase | Jyoti N. Nandimath [2]

Share this Article


Top