This paper presents a collusive shill bidding detection algorithm based on Markov Random Field for identifying colluding shill bidders. •. We implemented the ...

Oct 22, 2024 · The algorithm calculates an anomaly score for each bidder and then verifies the anomaly scores to improve the detection accuracy. We use a Local ...

It is found that the algorithm converges, that computation time can be significantly reduced by appropriate choice of parameters, and Shill Bidding is ...

Dec 28, 2018 · The algorithm calculates an anomaly score for each bidder and then verifies the anomaly scores to improve the detection accuracy. We use a Local ...

Oct 15, 2022 · This paper revises the Collusive Shill Bidding Algorithm(CSBD) proposed by Majadi et al. (2019) to develop an algorithm that is applied to a data set from an ...

We find that our algorithm converges, that computation time can be significantly reduced by appropriate choice of parameters, and we identify Shill Bidding for ...

This paper revises the Collusive Shill Bidding Algorithm(CSBD) proposed by Majadi et al. (2019) to develop an algorithm that is applied to a data set from an ...

Oct 15, 2022 · Collusive shill bidding detection in online auctions using Markov Random Field. Highlights. Shill bidding is a strategy employed by a seller ...

Collusive shill bidding detection in online auctions using Markov Random Field · Computer Science. Electronic Commerce Research and Applications · 2019.

Dec 9, 2024 · Collusive Shill Bidding Detection in Online Auctions using Markov Random Field ... Detecting Collusive Shill Bidding in Commercial Online Auctions.