Design the modified multi practical swarm optimization to enhance fraud detection
Source
Ibn al-Haitham Journal for Pure and Applied Science
Issue
Vol. 33, Issue 2 (31 Aug. 2020), pp.156-166, 11 p.
Publisher
University of Baghdad College of Education for Pure Science / Ibn al-Haitham
Publication Date
2020-08-31
Country of Publication
Iraq
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
Financial fraud remains an ever-increasing problem in the financial industry with numerousconsequences.
The detection of fraudulent online transactions via credit cards has always beendone using data mining (DM) techniques.
However, fraud detection on credit card transactions(CCTs), which on its own, is a DM problem, has become a serious challenge because of twomajor reasons, (i) the frequent changes in the pattern of normal and fraudulent online activities, and (ii) the skewed nature of credit card fraud datasets.
The detection of fraudulent CCTs mainlydepends on the data sampling approach.
This paper proposes a combined SVM- MPSOMMPSOtechnique for credit card fraud detection.
The dataset of CCTs which consists of284, 807 transactions performed by European cardholders in 2013 was used in this study.
Theproposed technique was applied to both the raw dataset and the pre-processed dataset.
Theperformance of these techniques is evaluated based on accuracy, and the fastest time it takes todetect fraud.
This paper, proposed a technique that uses SVM, MPSO and MMPSO to form anensemble for the detection of credit card fraud
American Psychological Association (APA)
Mutir, Zaynab Khamis& Mulud, Abir Tariq. 2020. Design the modified multi practical swarm optimization to enhance fraud detection. Ibn al-Haitham Journal for Pure and Applied Science،Vol. 33, no. 2, pp.156-166.
https://search.emarefa.net/detail/BIM-973757
Modern Language Association (MLA)
Mutir, Zaynab Khamis& Mulud, Abir Tariq. Design the modified multi practical swarm optimization to enhance fraud detection. Ibn al-Haitham Journal for Pure and Applied Science Vol. 33, no. 2 (2020), pp.156-166.
https://search.emarefa.net/detail/BIM-973757
American Medical Association (AMA)
Mutir, Zaynab Khamis& Mulud, Abir Tariq. Design the modified multi practical swarm optimization to enhance fraud detection. Ibn al-Haitham Journal for Pure and Applied Science. 2020. Vol. 33, no. 2, pp.156-166.
https://search.emarefa.net/detail/BIM-973757
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 166
Record ID
BIM-973757