A Survey of Anomaly Detection Technique for Credit Default
Krunal Surti, Ashish Patel, Shyamal Pandya
Anomaly Detection, Credit Default
Anomaly Detection is the process of classify unusual behavior. It is important data analysis task used for classify interesting and emerging patterns, trends and anomalies from data. Anomaly detection is an important tool to detect irregularity in many different domains including financial fraud detection, computer network intrusion, human behavioral analysis and many more. In today’s era the credit and Loan Default is become high because of many fraudulent activity or increase online purchases. This paper give survey about many technique for anomaly detection in credit or loan default.
Article Details
Unique Paper ID: 144120

Publication Volume & Issue: Volume 3, Issue 7

Page(s): 25 - 28
Article Preview & Download

Printed Issue

Go To Issue

Call For Paper

Volume 5 Issue 11

Last Date 25 April 2018

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Telephone:704 821 9842/43
Email: editor@ijirt.org
Website: ijirt.org