Application of Object—Attribute Space Segmentation in Bidding Activities

Yijie Yin (), Yuwen Huo () and Yaoyu Hu ()
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Yijie Yin: University of Science and Technology Beijing
Yuwen Huo: University of Science and Technology Beijing
Yaoyu Hu: University of Science and Technology Beijing

A chapter in LISS 2020, 2021, pp 649-663 from Springer

Abstract: Abstract In this paper, the object-attribute space segmentation method is used to segment the high-dimensional sparse matrix of regulation-bidding process in bidding activities, and the correlation model of regulation-bidding process is constructed to improve the compliance inspection efficiency in bidding activities. This paper analyzes the main steps and key problems of the algorithm, and finally applies the algorithm to carry out case analysis. The results show that the algorithm can effectively reduce the size and dimension of data and improve the efficiency of data mining.

Keywords: Bidding; Object-attribute space segmentation; Data mining; Clustering analysis (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-33-4359-7_45

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DOI: 10.1007/978-981-33-4359-7_45

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