Customer Retention and Fraud Detection for Credit Card
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

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

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

Share this Article

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), https://www.ijsr.net/search_index_results_paperid.php?id=ART20163068, Volume 5 Issue 11, November 2016, 1284 - 1286

125 PDF Views | 108 PDF Downloads

Download Article PDF



Similar Articles with Keyword 'Data Classification'

Review Papers, Computer Science & Engineering, India, Volume 5 Issue 6, June 2016

Pages: 2539 - 2541

Classification of Data Using LAD

Aishwarya Jadhav, Vaishali Nandedkar

Share this Article

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

Share this Article

| Weekly Popularity: ⮙4

Comparative Studies, Computer Science & Engineering, India, Volume 3 Issue 12, December 2014

Pages: 761 - 765

Comparative Study of Soft Computing Techniques on Medical Datasets

Mangesh Metkari, M.A. Pradhan

Share this Article

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

Pages: 1284 - 1286

Customer Retention and Fraud Detection for Credit Card

Ajinkya Pathak, Rohan Aney, Soham Baheti

Share this Article

| Weekly Popularity: ⮙1

Research Paper, Computer Science & Engineering, India, Volume 3 Issue 11, November 2014

Pages: 10 - 14

An Ensemble Classification Framework to Evolving Data Streams

Naga Chithra Devi. R

Share this Article

Similar Articles with Keyword 'Genetic algorithms'

| Weekly Popularity: ⮙3

Research Paper, Computer Science & Engineering, India, Volume 3 Issue 9, September 2014

Pages: 837 - 841

Fetal ECG Signal Optimization on Signal Obtained From FECG Sensor for Remote Areas with Lower Signal Strength for Its Smooth Propagation to Medical Databases

Sheena Chaudhary, Rupinder Kaur

Share this Article

| Weekly Popularity: ⮙3

Review Papers, Computer Science & Engineering, India, Volume 5 Issue 11, November 2016

Pages: 1892 - 1896

Review on Gait Recognition Using Artificial Intelligence

Drishty, Jasmeen Gill

Share this Article

Research Paper, Computer Science & Engineering, Turkey, Volume 6 Issue 11, November 2017

Pages: 1673 - 1679

Outlander Algorithm Based on Integrated Aggressive Selection Method

Mashar Cenk Gencal, Mustafa Oral

Share this Article

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

Pages: 1284 - 1286

Customer Retention and Fraud Detection for Credit Card

Ajinkya Pathak, Rohan Aney, Soham Baheti

Share this Article

| Weekly Popularity: ⮙2

Research Paper, Computer Science & Engineering, India, Volume 3 Issue 6, June 2014

Pages: 2188 - 2193

Generalized and Identify the Best Association Rules using Genetic Algorithm

Arvind Jaiswal

Share this Article
Top