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Comparative Analysis of Machine Learning Algorithms for Credit Card Fraud Detection

Jerin Ignatious1 , Yogita Kulkarni2 , Shruti Bari3 , Deepali Naglot4

Section:Research Paper, Product Type: Journal Paper
Volume-8 , Issue-6 , Page no. 6-9, Jun-2020

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v8i6.69

Online published on Jun 30, 2020

Copyright © Jerin Ignatious,Yogita Kulkarni, Shruti Bari, Deepali Naglot . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Jerin Ignatious,Yogita Kulkarni, Shruti Bari, Deepali Naglot, “Comparative Analysis of Machine Learning Algorithms for Credit Card Fraud Detection,” International Journal of Computer Sciences and Engineering, Vol.8, Issue.6, pp.6-9, 2020.

MLA Style Citation: Jerin Ignatious,Yogita Kulkarni, Shruti Bari, Deepali Naglot "Comparative Analysis of Machine Learning Algorithms for Credit Card Fraud Detection." International Journal of Computer Sciences and Engineering 8.6 (2020): 6-9.

APA Style Citation: Jerin Ignatious,Yogita Kulkarni, Shruti Bari, Deepali Naglot, (2020). Comparative Analysis of Machine Learning Algorithms for Credit Card Fraud Detection. International Journal of Computer Sciences and Engineering, 8(6), 6-9.

BibTex Style Citation:
@article{Ignatious_2020,
author = { Jerin Ignatious,Yogita Kulkarni, Shruti Bari, Deepali Naglot},
title = {Comparative Analysis of Machine Learning Algorithms for Credit Card Fraud Detection},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {6 2020},
volume = {8},
Issue = {6},
month = {6},
year = {2020},
issn = {2347-2693},
pages = {6-9},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=5137},
doi = {https://doi.org/10.26438/ijcse/v8i6.69}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v8i6.69}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=5137
TI - Comparative Analysis of Machine Learning Algorithms for Credit Card Fraud Detection
T2 - International Journal of Computer Sciences and Engineering
AU - Jerin Ignatious,Yogita Kulkarni, Shruti Bari, Deepali Naglot
PY - 2020
DA - 2020/06/30
PB - IJCSE, Indore, INDIA
SP - 6-9
IS - 6
VL - 8
SN - 2347-2693
ER -

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Abstract

In this age of growing digitization, many of our day to day activities are being transformed with the help of the internet and everything is now available online. With the advent of the internet, nowadays online transactions have become an important and necessary part of our lives. As the number of transactions are increasing, the number of fraudulent transactions are also increasing rapidly. To reduce fraudulent transactions, machine learning algorithms like Local Outlier Factor and Isolation Forest are discussed in this paper. An online dataset is used to implement and test these algorithms. Finally with comparative analysis we tried to conclude which algorithm works better.

Key-Words / Index Term

Credit Card, Fraud, Machine Learning, Isolation Forest, Local Outlier Factor

References

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