IJSTE

CALL FOR PAPERS : Aug 2017

Submission Last Date
25-Aug--17
Submit Manuscript Online

FOR AUTHORS

FOR REVIEWERS

ARCHIEVES

DOWNLOADS

Open Access



CopyScape
Creative Commons License

Effective Credit Default Scoring using Anomaly Detection


Author(s):

Krunal Surti , Silver Oak College of Engineering and Technology; Ashish Patel, Silver Oak College of Engineering and Technology

Keywords:

Anomaly Detection, Credit Default, Credit Score, Creditworthiness, Preprocessing, Regression

Abstract:

In recent years there has been a trend towards online purchase so stealing of credit data is high like identity of the credit card owner, password or etc. the attacker may use this data for to take loan from financial domain and they make credit default. Credit scoring is the give the creditworthiness of person. Anomaly Detection is the process of classifies 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. To perform anomaly detection in this paper linear regression with rule based classification and logistic regression is used. The preprocessing is used for to perform explore, analyze and determine the factor that play crucial role to find credit default.


Other Details:

Manuscript Id :IJSTEV3I11084
Published in :Volume : 3, Issue : 11
Publication Date: 01/06/2017
Page(s): 161-170
Download Article

IMPACT FACTOR

3.905

NEWS & UPDATES

Submit Article

Dear Authors, You can submit your article to our journal at the following link: http://www.ijste.org/Submit

Impact Factor

The Impact Factor of our Journal is 4.753 (Year - 2016)
3.905 (Year - 2015) 2.895(Year -2014)

Click Here

Submit Payment Online

Dear Authors, Now you can submit the payment receipt to our journal online at the following link: index.php?p=Payment

IC Value

ThVe IC Value of our journal is 62.78
Click Here

GLOBAL INDEXING



















Computer Science Directory. We are listed under Computer Research Institutes category

Share on Social media

Home | Privacy Policy | Terms & Conditions | Refund Policy | Feedback | Contact Us
Copyright © 2014 ijste.org All rights reserved