Data Mining Techniques for Financial Fraud Detection

Authors(2) :-Aditi Satpute, Anuj Shenoy

This presented article mainly circumspect the idea of the increasing number of frauds in recent times. Frauds can deliberately cause accident for payout or intentional losses. With all the different methods of fraud, detection still becomes an upheaval task. In this article, we shed light on the various frauds that take account and the fraud detection techniques used with the help of data mining. The broad-based definition of data mining is ‘processes and activities designed to obtain and evaluate data to extract useful information’. It is definitely something very important when it comes to detection, which can result in taking immediate action to minimize cost.

Authors and Affiliations

Aditi Satpute
Department of Computer Science, Fergusson College, Pune, Maharashtra, India
Anuj Shenoy
Department of Computer Science , Kaveri College of Arts,Science,Commerce, Pune, Maharahtra, India

Data mining, Financial Fraud, Fraud detection techniques

  1. Prof. Gupta Rajan, Gill N.S. 2012 "Data Mining Techniques–A Key for detection of financial statement fraud
  2. D.WHITLEY,"Genetic Algorithm And Neural Network."2003
  3. H.C. Koh, C.K. Low, Going concern prediction using data mining technique 2004
  4. Maes, S., Tuyls, K., and Vanschoenwinkel, B., Machine Learning Techniques For Fraud Detection. 2000
  5. Hoogs Bethany, Thomas Kiehl, Christina Lacomb and DenizSenturk(2007). A Genetic Algorithm Approach to Detecting Temporal Patterns Indicative Of Financial Statement Fraud
  6. P.Ravisankar, V. Ravi, G.RaghavaRao, I., Bose, Detection of financial statement fraud and feature selection using data mining techniques,Decision Support System. 2011
  7. Jenson, F.V., An Introduction To Bayesian Networks. 1998

Publication Details

Published in : Volume 3 | Issue 4 | March-April 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 147-150
Manuscript Number : CSEIT1833119
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Aditi Satpute, Anuj Shenoy, "Data Mining Techniques for Financial Fraud Detection", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 4, pp.147-150, March-April.2018
URL : http://ijsrcseit.com/CSEIT1833119

Follow Us

Contact Us