147 related articles for article (PubMed ID: 35051184)
1. Credit card fraud detection using a hierarchical behavior-knowledge space model.
Nandi AK; Randhawa KK; Chua HS; Seera M; Lim CP
PLoS One; 2022; 17(1):e0260579. PubMed ID: 35051184
[TBL] [Abstract][Full Text] [Related]
2. A soft voting ensemble learning approach for credit card fraud detection.
Azim Mim M; Majadi N; Mazumder P
Heliyon; 2024 Feb; 10(3):e25466. PubMed ID: 38333818
[TBL] [Abstract][Full Text] [Related]
3. A novel method for detecting credit card fraud problems.
Du H; Lv L; Wang H; Guo A
PLoS One; 2024; 19(3):e0294537. PubMed ID: 38446831
[TBL] [Abstract][Full Text] [Related]
4. Class balancing framework for credit card fraud detection based on clustering and similarity-based selection (SBS).
Ahmad H; Kasasbeh B; Aldabaybah B; Rawashdeh E
Int J Inf Technol; 2023; 15(1):325-333. PubMed ID: 35757149
[TBL] [Abstract][Full Text] [Related]
5. An intelligent payment card fraud detection system.
Seera M; Lim CP; Kumar A; Dhamotharan L; Tan KH
Ann Oper Res; 2021 Jun; ():1-23. PubMed ID: 34121790
[TBL] [Abstract][Full Text] [Related]
6. Oppositional Cat Swarm Optimization-Based Feature Selection Approach for Credit Card Fraud Detection.
Prabhakaran N; Nedunchelian R
Comput Intell Neurosci; 2023; 2023():2693022. PubMed ID: 36688222
[TBL] [Abstract][Full Text] [Related]
7. A systematic review of literature on credit card cyber fraud detection using machine and deep learning.
Marazqah Btoush EAL; Zhou X; Gururajan R; Chan KC; Genrich R; Sankaran P
PeerJ Comput Sci; 2023; 9():e1278. PubMed ID: 37346569
[TBL] [Abstract][Full Text] [Related]
8. A novel approach for credit card fraud transaction detection using deep reinforcement learning scheme.
Qayoom A; Khuhro MA; Kumar K; Waqas M; Saeed U; Ur Rehman S; Wu Y; Wang S
PeerJ Comput Sci; 2024; 10():e1998. PubMed ID: 38699207
[TBL] [Abstract][Full Text] [Related]
9. FraudMiner: a novel credit card fraud detection model based on frequent itemset mining.
Seeja KR; Zareapoor M
ScientificWorldJournal; 2014; 2014():252797. PubMed ID: 25302317
[TBL] [Abstract][Full Text] [Related]
10. RHSOFS: Feature Selection Using the Rock Hyrax Swarm Optimization Algorithm for Credit Card Fraud Detection System.
Padhi BK; Chakravarty S; Naik B; Pattanayak RM; Das H
Sensors (Basel); 2022 Nov; 22(23):. PubMed ID: 36502020
[TBL] [Abstract][Full Text] [Related]
11. CTCN: a novel credit card fraud detection method based on Conditional Tabular Generative Adversarial Networks and Temporal Convolutional Network.
Zhao X; Guan S
PeerJ Comput Sci; 2023; 9():e1634. PubMed ID: 37869461
[TBL] [Abstract][Full Text] [Related]
12. Financial Fraud Detection and Prediction in Listed Companies Using SMOTE and Machine Learning Algorithms.
Zhao Z; Bai T
Entropy (Basel); 2022 Aug; 24(8):. PubMed ID: 36010821
[TBL] [Abstract][Full Text] [Related]
13. Enhancing fraud detection in banking by integration of graph databases with machine learning.
Patil A; Mahajan S; Menpara J; Wagle S; Pareek P; Kotecha K
MethodsX; 2024 Jun; 12():102683. PubMed ID: 38623305
[TBL] [Abstract][Full Text] [Related]
14. A Machine Learning and Blockchain Based Efficient Fraud Detection Mechanism.
Ashfaq T; Khalid R; Yahaya AS; Aslam S; Azar AT; Alsafari S; Hameed IA
Sensors (Basel); 2022 Sep; 22(19):. PubMed ID: 36236255
[TBL] [Abstract][Full Text] [Related]
15. Fraud Detection in Mobile Payment Systems using an XGBoost-based Framework.
Hajek P; Abedin MZ; Sivarajah U
Inf Syst Front; 2022 Oct; ():1-19. PubMed ID: 36258679
[TBL] [Abstract][Full Text] [Related]
16. Preventing the threat of credit-card fraud: Factors influencing cashiers' identification-checking behavior.
Downing C; Howard EH; Goodwin C; Geller ES
J Prev Interv Community; 2016; 44(3):177-85. PubMed ID: 27309026
[TBL] [Abstract][Full Text] [Related]
17. The role of diversity and ensemble learning in credit card fraud detection.
Paldino GM; Lebichot B; Le Borgne YA; Siblini W; Oblé F; Boracchi G; Bontempi G
Adv Data Anal Classif; 2022 Sep; ():1-25. PubMed ID: 36188101
[TBL] [Abstract][Full Text] [Related]
18. Credit Card Fraud Detection: A Realistic Modeling and a Novel Learning Strategy.
Dal Pozzolo A; Boracchi G; Caelen O; Alippi C; Bontempi G
IEEE Trans Neural Netw Learn Syst; 2018 Aug; 29(8):3784-3797. PubMed ID: 28920909
[TBL] [Abstract][Full Text] [Related]
19. Financial Fraud Identification Based on Stacking Ensemble Learning Algorithm: Introducing MD&A Text Information.
Zhang Z; Ma Y; Hua Y
Comput Intell Neurosci; 2022; 2022():1780834. PubMed ID: 36177320
[TBL] [Abstract][Full Text] [Related]
20. A Machine Learning Ensemble Classifier for Early Prediction of Diabetic Retinopathy.
S K S; P A
J Med Syst; 2017 Nov; 41(12):201. PubMed ID: 29124453
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
