Credit Card Fraud Detection Using AdaBoost and Majority Voting

journal contribution

posted on 2024-06-06, 08:08 authored by K Randhawa, CK Loo, M Seera, Chee Peng Lim, AK Nandi

Credit Card Fraud Detection Using AdaBoost and Majority Voting

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1.
DOI - Is version of https://doi.org/10.1109/ACCESS.2018.2806420

Location

Piscataway, N.J.

Open access

Yes

Link to full text

http://dx.doi.org/10.1109/ACCESS.2018.2806420

Language

English

Publication classification

C1 Refereed article in a scholarly journal

Copyright notice

2018, IEEE

Journal

IEEE Access

Volume

6

Pagination

14277-14284

ISSN

2169-3536

eISSN

2169-3536

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

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Categories

Artificial intelligence not elsewhere classified

Keywords

Science & Technology Technology Computer Science, Information Systems Engineering, Electrical & Electronic Telecommunications Computer Science Engineering AdaBoost classification credit card fraud detection predictive modelling voting DATA MINING TECHNIQUES MODEL 4605 Data management and data science

Licence

All Rights Reserved

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