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Developing an Integrated System Based on Predictive Analytics for Detecting Fraudulent Activities

Namrata Deswal

GD Goenka World Institute Lancaster University, Gurugram, Haryana

53-57

Vol: 9, Issue: 1, 2019

Receiving Date: 2019-01-18 Acceptance Date:

2019-02-27

Publication Date:

2019-03-15

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Abstract

The ubiquity of web-based shopping is developing step by step. In 2021, north of 40 billion advanced exchanges worth over a quadrillion Indian rupee had recorded the nation over. As the quantity of Mastercard clients rises worldwide, the fantastic open doors for assailants to take charge of card subtleties and submit misrepresentation are additionally expanding. Since people will often display detailed behavioristic profiles, each cardholder can be addressed by many examples containing data about the specific buy class, spent the time since the last buy, how much cash, etc. So can distinguish these cheats through different calculations, basically irregular timberland and strategic relapse. To improve the lift and construct a model with substantially more effectiveness, AdaBoost is additionally added.

Keywords: Internet; algorithm; AI models

References

  1. Adi Saputra, Suharjito L; (2019); Fraud Detection using Machine Learning in e-Commerce, (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 10, No. 9
  2. Heta Naik, Prashasti Kanikar; (March 2019); Credit card Fraud Detection based on Machine Learning Algorithms, International Journal of Computer Applications (0975 –8887) Volume 182 – No. 44.
  3. Yashvi Jain, Namrata Tiwari, Shripriya Dubey, Sarika Jain; (Jan 2019); A Comparative Analysis of Various Credit Card Fraud Detection Techniques, International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-7 Issue-5S2.
  4. Navanshu Khare ,Saad Yunus Sait; (2018); Credit Card Fraud Detection Using Machine Learning Models and Collating Machine Learning Models, International Journal of Pure and Applied Mathematics Volume 118 No. 20, 825-838 ISSN: 1314-3395.
  5. Yong Fang, Yunyun Zhang and Cheng Huang, (2019) Credit Card Fraud Detection Based on Machine Learning; Computers, Materials & Continua CMC, vol.61, no.1, pp.185-195
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