PREDICTING SYSTEM FOR PUBLIC PROCUREMENT PARTICIPANTS UNDER FEDERAL LAWS NO. 44 AND NO. 223
PREDICTING SYSTEM FOR PUBLIC PROCUREMENT PARTICIPANTS UNDER FEDERAL LAWS NO. 44 AND NO. 223
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根据联邦法律第 1 号规定的公共采购参与者预测系统
DOI：
10.23859/1994-0637-2022-3-108-5
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发表时间：
2022
期刊：
影响因子：
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通讯作者：
Sergey V. Buresh
中科院分区：
文献类型：
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作者：
M. S. Tsyganova;Darya A. Chernushenko;Sergey V. Buresh
公共采购分析对于供应商企业了解所下订单的竞争环境，从而作出旨在提高其采购活动效率的决定可能十分有用。这项工作认为，预测模块的发展，允许获得估计参与电子公共采购根据联邦法律44和223的供应商企业，在招标搜索系统的信息库中列出。在该项目中，开发了用于原始采购数据清理、构建预测模型输入特征、分析重要性并选择这些特征的脚本;还建立并训练了逻辑回归模型。在未来，集成的开发模块与系统的投标搜索和分析MetaTender的假设。
Public procurement analysis might be quite useful for a supplier enterprise to understand the competitive environment of placed orders and, consequently, to make decisions aimed at improving the efficiency of its procurement activities. This work considers the development of the prediction module that allows obtaining estimates of the involvement in electronic public procurement under Federal Laws 44 and 223 of supplier enterprises, listed in information base of tender search system. Within the project, scripts for original procurement data clearing, constructing input features for the prediction model, analyzing significance and selecting these features were developed; logistic regression model was also built and trained. In the future, integration of the developed module with the system of tender search and analysis MetaTender is assumed.