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A Detector and Evaluation Framework of Abnormal Bidding Behavior Based on Supplier Portrait

A Detector and Evaluation Framework of Abnormal Bidding Behavior Based on Supplier Portrait

Xinqiang Ma, Xuewei Li, Baoquan Zhong, Yi Huang, Ye Gu, Maonian Wu, Yong Liu, Mingyi Zhang
Copyright: © 2021 |Volume: 16 |Issue: 2 |Pages: 17
ISSN: 1554-1045|EISSN: 1554-1053|EISBN13: 9781799859758|DOI: 10.4018/IJITWE.2021040104
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MLA

Ma, Xinqiang, et al. "A Detector and Evaluation Framework of Abnormal Bidding Behavior Based on Supplier Portrait." IJITWE vol.16, no.2 2021: pp.58-74. http://doi.org/10.4018/IJITWE.2021040104

APA

Ma, X., Li, X., Zhong, B., Huang, Y., Gu, Y., Wu, M., Liu, Y., & Zhang, M. (2021). A Detector and Evaluation Framework of Abnormal Bidding Behavior Based on Supplier Portrait. International Journal of Information Technology and Web Engineering (IJITWE), 16(2), 58-74. http://doi.org/10.4018/IJITWE.2021040104

Chicago

Ma, Xinqiang, et al. "A Detector and Evaluation Framework of Abnormal Bidding Behavior Based on Supplier Portrait," International Journal of Information Technology and Web Engineering (IJITWE) 16, no.2: 58-74. http://doi.org/10.4018/IJITWE.2021040104

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Abstract

In a large number of bidding supplier groups, it is difficult to accurately find suppliers with unreasonable bidding behavior. In order to solve the problem of precise positioning of massive abnormal bidding behavior groups of diverse and widely distributed suppliers, the authors design a detector framework of abnormal bidding behavior based on supplier portrait. This paper mainly focuses on three abnormal bidding behaviors which harmful to the tenderers—“affiliated operation,” “subcontracting behavior,” and “colluding behavior.” Based on the bidding behavior records of suppliers, this paper establishes supplier portraits in four dimensions. In order to solve the problem that the detection algorithm under the unlabeled data is difficult to verify, this research establishes a new evaluation framework based on the bid base price formula and benefit map database of the supplier. The experiment verifies that the framework can effectively detect most suppliers with abnormal bidding behavior and can significantly change the benchmark price after eliminating abnormal suppliers.

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