Research on credit card anti-fraud based on data mining

The research topic of this paper is the field of credit card anti-fraud, using the European credit card data of the past two days in September 2018 for research, describing the data distribution through exploratory data analysis, data normalization, and finally using logistic regression for anti-fraud identification prediction.

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Publication Details

Journal
Transactions on Computer Science and Intelligent Systems Research
Published
2024-10-17
DOI
https://doi.org/10.62051/tbfsd224
Primary Topic
Imbalanced Data Classification Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Research on credit card anti-fraud based on data mining

Haolun Zhang
Transactions on Computer Science and Intelligent Systems Research
Imbalanced Data Classification Techniques
article

Research on credit card anti-fraud based on data mining

Haolun Zhang
article en

Abstract

The research topic of this paper is the field of credit card anti-fraud, using the European credit card data of the past two days in September 2018 for research, describing the data distribution through exploratory data analysis, data normalization, and finally using logistic regression for anti-fraud identification prediction.

Transactions on Computer Science and Intelligent Systems ResearchVol. 6
Nanjing University of Science and Technology (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 84%
Imbalanced Data Classification Techniques
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