Finding Fake Transactions Using Semi Supervised Models
Abstract & Details
Research Area
Computer Science and Engineering
Keywords
Fake transactions
fraudulent activities
decision trees
Logistic Regression boost
ROC curve.
Abstract
Due to the growth of e-commerce and online transactions, credit card fraud has become the most prevalent problem in the modern world. It involves the theft of a card and its information for unauthorized use or personal gain. As a result, we are seeing a lot of credit card issues. Fake transaction is discovered after the crime has been committed, and it is discovered following the cardholder's complaint. Three algorithms are compared: decision trees,logistic regression and XG Boost. The model we utilize is a semi-supervised model. The primary topic of the paper is machine learning algorithms. Decision Trees, XG Boost, and Logistic Regression. By comparing accuracy, precision, recall, and F1-score, the outputs of the three algorithms are contrasted. The ROC curve is generated from the confusion matrix. The algorithm that is best at detecting fraudulent transactions should have high accuracy, precision, recall, and F1-score.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | S.Revathi | Erode Sengunthar Engineering College |
| 2 | M.Akash | Erode Sengunthar Engineering College |
| 3 | K.Barani | Erode Sengunthar Engineering College |
| 4 | S.Kishore Kumar | Erode Sengunthar Engineering College |
| 5 | G.Manoj | Erode Sengunthar Engineering College |
How to Cite
Use the following formats to cite this article in your research.
APA Style
S.Revathi, M.Akash, K.Barani, Kumar, S.Kishore, & G.Manoj (2023). Finding Fake Transactions Using Semi Supervised Models. International Journal of Advance Research and Innovative Ideas In Education, 9(2), 1287-1293.
MLA Style
S.Revathi, et al. "Finding Fake Transactions Using Semi Supervised Models." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 2, 2023, pp. 1287-1293.
IEEE Style
S.Revathi, M.Akash, K.Barani, S.Kishore Kumar, and G.Manoj, "Finding Fake Transactions Using Semi Supervised Models," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 2, pp. 1287-1293, 2023.
Vancouver Style
S.Revathi, M.Akash, K.Barani, Kumar S.Kishore, G.Manoj. Finding Fake Transactions Using Semi Supervised Models. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(2):1287-1293.
Harvard Style
S.Revathi, M.Akash, K.Barani, Kumar, S.Kishore, & G.Manoj (2023) 'Finding Fake Transactions Using Semi Supervised Models', International Journal of Advance Research and Innovative Ideas In Education, 9(2), pp. 1287-1293.
Chicago Style
S.Revathi, et al. "Finding Fake Transactions Using Semi Supervised Models." International Journal of Advance Research and Innovative Ideas In Education 9, no. 2 (2023): 1287-1293.
Turabian Style
S.Revathi, et al. "Finding Fake Transactions Using Semi Supervised Models." International Journal of Advance Research and Innovative Ideas In Education 9, no. 2 (2023): 1287-1293.
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