Parallel and incremental credit card fraud detection model to handle concept drift and data imbalance-Reference-Cited by-同舟云学术

Parallel and incremental credit card fraud detection model to handle concept drift and data imbalance

Published:2018-07-17 Issue:S1 Volume:31 Page:3-14
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Somasundaram Akila^ORCID,Reddy Srinivasulu

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/article/10.1007/s00521-018-3633-8/fulltext.html

Reference39 articles.

1. https://www.medianama.com/2017/07/223-india-credit-cards-debit-cards-may-2017/ . Accessed Aug 2017

2. https://www.medianama.com/2017/12/223-india-33-87m-credit-cards-826-3m-debit-cards-october-2017/ Accessed Dec 2017

3. https://www.creditcards.com/credit-card-news/credit-card-security-id-theft-fraud-statistics-1276.php Accessed Nov 2017

4. Somasundaram A, Reddy US (2017) Modelling a stable classifier for handling large scale data with noise and imbalance. In: Computational intelligence in data science (ICCIDS), pp 1–6

5. Akila S, Srinivasulu Reddy U (2016) Data imbalance: effects and solutions for classification of large and highly imbalanced data. In: Proceedings of ICRECT.16, pp 28–34

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