Matches in SemOpenAlex for { <https://semopenalex.org/work/W4214912866> ?p ?o ?g. }
Showing items 1 to 86 of
86
with 100 items per page.
- W4214912866 abstract "Credit card is one of the modern payment methods widely spread all over the world. It provides excellent facilities in purchasing as well as selling operations. However, it suffers from fraud problems, causing considerable economic losses to banks, institutions, and individuals, amounting to billions of dollars annually. That has made great interest in finding systems and means with outstanding capabilities to confront fraud, whose patterns in addition to methods are increasing dramatically. One of the most prominent techniques used by researchers in this field is Machine Learning (ML) techniques. In this paper, we proposed some of the classification ML algorithms such as Logistic regression(LR), Linear Discriminant Analysis (LDA), and Naïve Bayes(NB), additionally, the boosting algorithm XGBoost to create models capable of detecting fraud. The dataset from Kaggle. We used performance metrics such as accuracy, precision, f1, recall, AUC confusion matrix to evaluate the models' performance. The XGBoost model presented the best results compared to other models." @default.
- W4214912866 created "2022-03-05" @default.
- W4214912866 creator A5022113291 @default.
- W4214912866 creator A5034393779 @default.
- W4214912866 creator A5063067872 @default.
- W4214912866 date "2021-12-07" @default.
- W4214912866 modified "2023-10-12" @default.
- W4214912866 title "Credit Card Fraud Detection Using XGBoost Algorithm" @default.
- W4214912866 cites W1842222660 @default.
- W4214912866 cites W2032908054 @default.
- W4214912866 cites W2217007515 @default.
- W4214912866 cites W2561283532 @default.
- W4214912866 cites W2795873205 @default.
- W4214912866 cites W2805595195 @default.
- W4214912866 cites W2889160695 @default.
- W4214912866 cites W2895850111 @default.
- W4214912866 cites W2960423448 @default.
- W4214912866 cites W2968086136 @default.
- W4214912866 cites W3033403042 @default.
- W4214912866 cites W3087888238 @default.
- W4214912866 cites W3104270510 @default.
- W4214912866 cites W3114883118 @default.
- W4214912866 cites W3116069721 @default.
- W4214912866 cites W3122007073 @default.
- W4214912866 cites W3128968148 @default.
- W4214912866 cites W3134348642 @default.
- W4214912866 cites W3135818052 @default.
- W4214912866 cites W3136239615 @default.
- W4214912866 cites W3141571471 @default.
- W4214912866 cites W3172695087 @default.
- W4214912866 cites W3178824571 @default.
- W4214912866 cites W3194196819 @default.
- W4214912866 doi "https://doi.org/10.1109/dese54285.2021.9719580" @default.
- W4214912866 hasPublicationYear "2021" @default.
- W4214912866 type Work @default.
- W4214912866 citedByCount "2" @default.
- W4214912866 countsByYear W42149128662022 @default.
- W4214912866 countsByYear W42149128662023 @default.
- W4214912866 crossrefType "proceedings-article" @default.
- W4214912866 hasAuthorship W4214912866A5022113291 @default.
- W4214912866 hasAuthorship W4214912866A5034393779 @default.
- W4214912866 hasAuthorship W4214912866A5063067872 @default.
- W4214912866 hasConcept C110083411 @default.
- W4214912866 hasConcept C11413529 @default.
- W4214912866 hasConcept C119857082 @default.
- W4214912866 hasConcept C12267149 @default.
- W4214912866 hasConcept C136764020 @default.
- W4214912866 hasConcept C138602881 @default.
- W4214912866 hasConcept C145097563 @default.
- W4214912866 hasConcept C154945302 @default.
- W4214912866 hasConcept C2780747020 @default.
- W4214912866 hasConcept C2983355114 @default.
- W4214912866 hasConcept C41008148 @default.
- W4214912866 hasConcept C46686674 @default.
- W4214912866 hasConcept C52001869 @default.
- W4214912866 hasConcept C69738355 @default.
- W4214912866 hasConceptScore W4214912866C110083411 @default.
- W4214912866 hasConceptScore W4214912866C11413529 @default.
- W4214912866 hasConceptScore W4214912866C119857082 @default.
- W4214912866 hasConceptScore W4214912866C12267149 @default.
- W4214912866 hasConceptScore W4214912866C136764020 @default.
- W4214912866 hasConceptScore W4214912866C138602881 @default.
- W4214912866 hasConceptScore W4214912866C145097563 @default.
- W4214912866 hasConceptScore W4214912866C154945302 @default.
- W4214912866 hasConceptScore W4214912866C2780747020 @default.
- W4214912866 hasConceptScore W4214912866C2983355114 @default.
- W4214912866 hasConceptScore W4214912866C41008148 @default.
- W4214912866 hasConceptScore W4214912866C46686674 @default.
- W4214912866 hasConceptScore W4214912866C52001869 @default.
- W4214912866 hasConceptScore W4214912866C69738355 @default.
- W4214912866 hasLocation W42149128661 @default.
- W4214912866 hasOpenAccess W4214912866 @default.
- W4214912866 hasPrimaryLocation W42149128661 @default.
- W4214912866 hasRelatedWork W3172695087 @default.
- W4214912866 hasRelatedWork W3204641204 @default.
- W4214912866 hasRelatedWork W4206019394 @default.
- W4214912866 hasRelatedWork W4206212493 @default.
- W4214912866 hasRelatedWork W4212885500 @default.
- W4214912866 hasRelatedWork W4214912866 @default.
- W4214912866 hasRelatedWork W4220878538 @default.
- W4214912866 hasRelatedWork W4283016678 @default.
- W4214912866 hasRelatedWork W4297493941 @default.
- W4214912866 hasRelatedWork W4321369284 @default.
- W4214912866 isParatext "false" @default.
- W4214912866 isRetracted "false" @default.
- W4214912866 workType "article" @default.