Fraudulent Electronic transaction detection using KDA Model

M. Vadoodparast; A. Razak Hamdan; Hafiz

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arXiv · 1503.03208

Fraudulent Electronic transaction detection using KDA Model

M. Vadoodparast·A. Razak Hamdan·Hafiz

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Abstract

Clustering analysis and Datamining methodologies were applied to the problem of identifying illegal and fraud transactions. The researchers independently developed model and software using data provided by a bank and using Rapidminer modeling tool. The research objectives are to propose dynamic model and mechanism to cover fraud detection system limitations. KDA model as proposed model can detect 68.75% of fraudulent transactions with online dynamic modeling and 81.25% in offline mode and the Fraud Detection System & Decision Support System. Software propose a good supporting procedure to detect fraudulent transaction dynamically.

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M. Vadoodparast, A. Razak Hamdan, Hafiz. 2015-03-11. Fraudulent Electronic transaction detection using KDA Model. https://arxiv.org/abs/1503.03208

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