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International Journal of Research and Analytical Reviews (IJRAR)

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E-ISSN 2348-1269, P- ISSN 2349-5138 | ESTD Year: 2014

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  Paper Title  

REVIEW ON CREDIT CARD FRAUD DETECTION USING DATA MINING CLASSIFICATION TECHNIQUES & MACHINE LEARNING ALGORITHMS

  Authors

  Rahul Goyal,  Amit Kumar Manjhvar

  Keywords

Data Mining (DM), Credit card fraud , Detection Classification, Techniques & Challenges

  Abstract


Data mining (DM) involves a core algorithm that enables data deeper than basic insights and knowledge. Data mining is more part of the knowledge discovery process. Credit card (CC) providers provide multiple cards to their customers. All credit card users must be genuine and sincere. Giving a card to any kind of mistake can lead to a financial crisis. Due to the rapid growth in cashless transactions, it is unlikely, Fake transactions can also be increased. A fraudulent transaction can be identified by studying credit cards of various behaviors as a previous transaction history dataset. If there is any deviation from the available cost pattern, it is a bogus transaction. DM & machine learning techniques (MLT) are widely applied in credit card fraud detection (CCFD). In this survey paper, we show an indication of various widely available DM & MLT for detecting credit card fraud.

  Cite this article

  Rahul Goyal,  Amit Kumar Manjhvar,   "REVIEW ON CREDIT CARD FRAUD DETECTION USING DATA MINING CLASSIFICATION TECHNIQUES & MACHINE LEARNING ALGORITHMS", IJRAR - International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.7, Issue 1, Page No pp.972-975, January 2020, Available at : http://www.ijrar.org/IJRAR19K7539.pdf  

  IJRAR's Publication Details

  Unique Identification Number - IJRAR19K7539

  Paper ID - 213166

  Page Number(s) - 972-975

  Pubished in - Volume 7 | Issue 1 | January 2020

  DOI (Digital Object Identifier) -   

  Publisher Name - IJRAR | www.ijrar.org | E-ISSN 2348-1269, P- ISSN 2349-5138

  E-ISSN 2348-1269, P- ISSN 2349-5138

  Cite this article

  Rahul Goyal,  Amit Kumar Manjhvar,   "REVIEW ON CREDIT CARD FRAUD DETECTION USING DATA MINING CLASSIFICATION TECHNIQUES & MACHINE LEARNING ALGORITHMS", IJRAR - International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.7, Issue 1, Page No pp.972-975, January 2020, Available at : http://www.ijrar.org/IJRAR19K7539.pdf

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The IJRAR - International Journal of Research and Analytical Reviews (IJRAR) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world.


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