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Performance comparison with other credit card fraud detection dataset.
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Author(s):
Al Mahmud Siam
;
Pankaj Bhowmik
;
Md Palash Uddin
Subject Terms:
Space Science
;
Biological Sciences not elsewhere classified
;
Information Systems not elsewhere classified
;
union operation combines
;
time credit cards
;
significant financial losses
;
machine learning models
;
increasingly prevalent worldwide
;
highly imbalanced nature
;
employing five state
;
efficient feature selection
;
decision support system
;
credit card usage
;
fraudulent activities constitute
;
xgbc )
;
adaboost
;
online payments grows
;
et )
;
xgboost
;
dataset 8216
;
random forest importance
;
five diverse datasets
;
detecting fraudulent transactions
;
random forest
;
fraudulent transactions
;
online transactions
;
world dataset
;
rfi )
;
transformed datasets
;
transaction datasets
Document Type:
dataset
Language:
unknown
Additional Information
Publication Date:
2025
Collection:
Torrens University Australia: Figshare
Abstract:
Performance comparison with other credit card fraud detection dataset.
Relation:
https://figshare.com/articles/dataset/Performance_comparison_with_other_credit_card_fraud_detection_dataset_/29585039
Accession Number:
10.1371/journal.pone.0326975.t015
Online Access:
https://doi.org/10.1371/journal.pone.0326975.t015
Rights:
CC BY 4.0
Accession Number:
edsbas.E177FB0B
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