A Fraud Detection Tool: Data Mining

Authors

  • Bhavya Research Scholar, Ph.D. (Pursuing) , Thappar University
  • Pooja Mittal Maharshi Dayanand University, Rohtak,

Keywords:

Data mining strategies, knowledge, numerous, Credit Card extortion

Abstract

Data mining has been expanding as one of the chief feature of numerous security activities. It is frequently utilized as method for identification of frauds, accessing risk as well. Data mining strategies has increased in fighting Credit Card extortion due to its effectiveness in Artificial Intelligence procedures and calculations that can be actualized to identify or foresee misrepresentation through knowledge discovery from unordinary examples got from accumulated information. Fraud detection includes observing the conduct of client/client with a specific end goal to gauge, identify or stay away from undesirable conduct in peculiarity. Recent decades have seen a huge development in the utilization of credit cards as a value-based medium as they offer a number of secondary benefits unavailable from cash; likewise credits cards are more secure from robbery than is money. Nowadays, credit cards turns into the most overall mode of instalment for online buy, fraud relate with it are likewise quickening. Therefore, there should secure credit card transaction for credit card owners. Data mining is used to battle cheats because of its proficiency in finding or perceiving irregular examples in gathered dataset. Neural Network, an information digging procedure was utilized for this study. 

References

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Published

30-06-2017

How to Cite

Bhavya, & Pooja Mittal. (2017). A Fraud Detection Tool: Data Mining. International Journal for Research Publication and Seminar, 8(5), 64–77. Retrieved from https://jrps.shodhsagar.com/index.php/j/article/view/1054

Issue

Vol. 8 No. 5 (2017): Apr - June 2017

Section

Original Research Article

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Copyright (c) 2017 International Journal for Research Publication and Seminar

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