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Anticipatory Measure for Auction Fraud Detection in Online

Author(s): Narasamma. S, | Sumalatha. K, | Sumalatha. M,

Journal: International Journal of Engineering and Advanced Technology
ISSN 2249-8958

Volume: 2;
Issue: 6;
Start page: 320;
Date: 2013;
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Keywords: Online Auction | Fraud Detection | Online Modeling | Online Feature Selection | Multiple Instance Learning.

This paper introduces and presents the Online Modeling of Proactive Moderation System for Auction Fraud Detection by Using online feature selection, stochastic search variable selection (SSVS),coefficient bounds from human knowledge and multiple instance learning. An important usability goal of proactive moderation systems is by applying expert knowledge, such as bounding the rule based feature weights to be positive and multiple instance learning, can significantly improve the performance in terms of detecting more frauds and reducing customer complaints given the same workload from human experts.
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