We divide the real-time monitoring functionality into threefold: detecting frauds, reacting to frauds, and updating bidders' clusters. The first task examines ...
May 1, 2015 · We divide the real-time monitoring functionality into threefold: detecting frauds, reacting to frauds, and updating bidders' clusters. The first ...
We divide the real-time monitoring functionality into threefold: detecting frauds, reacting to frauds, and updating bidders' clusters. The first task examines ...
We propose here a generic framework that covers real- time monitoring of multiple live auctions. The monitoring is performed at dif- ferent auction times ...
Online auctions have become one of the most convenient ways to commit fraud due to a large amount of money being traded every day. Shill bidding is the ...
Dynamic in-Auction fraud (IAF) monitoring framework [61]. Fig. 14. A framework for identifying suspicious online bidders in real-time [57]. strategy was ...
We divide the real-time monitoring functionality into threefold: detecting frauds, reacting to frauds, and updating bidders' clusters. The first task examines ...
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An agent-based simulation for online auctions is implemented as a means of generating synthetic auction data and is applied to evaluate an existing fraud ...
Sadaoui, S., Wang, X., Qi, D. (2015). A real-time monitoring framework for online auctions frauds. Current Approaches in Applied Artificial Intelligence.
Today, monitoring auctions for frauds is becoming very crucial. We propose here a generic framework that covers realtime monitoring of multiple live auctions.