Fraud Detection using ACO and Fuzzy SVM

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Authors

  • V. Dheepa
     Anna Adarsh College for Women, Chennai-40, Tamil Nadu ,IN

DOI:

https://doi.org/10.24906/isc/2018/v32/i5/180260

Keywords:

Support Vector Machine, Ant Colony Optimization, Clustering.

Abstract

The advent of e-commerce has initiated a new issue. It deals with the security while performing the money transactions. One of the main problems that persuades in the issue of online transactions is the credit card frauds. To solve this problem, behaviour based clustering using ant colony optimization (ACO) and Fuzzy support vector machine (SVM) is employed in this work. It is a hybrid approach, combining the supervised and unsupervised methods. It acquires the benefits of both the methods.

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Published

2018-09-01

How to Cite

Dheepa, V. (2018). Fraud Detection using ACO and Fuzzy SVM. Indian Science Cruiser, 32(5), 54–56. https://doi.org/10.24906/isc/2018/v32/i5/180260

Issue

Volume 32, Issue 5 , September 2018

Section

Feature Article
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