Published April 30, 2020 | Version v1
Journal article Open

Credit Card Fraud Detection and Prevention using Machine Learning

  • 1. Assistant Professor, SRM Institute of Science and Technology, Ramapuram, Tamilnadu, Chennai-600087
  • 2. B. Tech, Information Technology, SRM Institute of Science and Technology, Ramapuram, Tamilnadu, Chennai-600087
  • 3. B. Tech, Information Technology, SRM Institute of Science and Technology, Ramapuram Tamilnadu, Chennai-600087
  • 4. B. Tech Information Technology, SRM Institute of Science and Technology, Ramapuram Tamilnadu, Chennai-600087
  • 1. Publisher

Description

This research focused mainly on detecting credit card fraud in real world. We must collect the credit card data sets initially for qualified data set. Then provide queries on the user's credit card to test the data set. After random forest algorithm classification method using the already evaluated data set and providing current data set[1]. Finally, the accuracy of the results data is optimised. Then the processing of a number of attributes will be implemented, so that affecting fraud detection can be found in viewing the representation of the graphical model. The techniques efficiency is measured based on accuracy, flexibility, and specificity, precision. The results obtained with the use of the Random Forest Algorithm have proved much more effective.

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Is cited by
Journal article: 2249-8958 (ISSN)

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ISSN
2249-8958
Retrieval Number
D7327049420/2020┬ęBEIESP