Adaptation of Cluster Analysis Methods in Respect to Vector Space of Social Network Analysis Indicators for Revealing Suspicious Government Contracts
Adaptation of Cluster Analysis Methods in Respect to Vector Space of Social Network Analysis Indicators for Revealing Suspicious Government Contracts
复制标题
聚类分析方法在社会网络分析指标向量空间中的应用揭示可疑政府合同
DOI：
10.1109/ficloudw.2017.87
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发表时间：
2017
期刊：
影响因子：
--
通讯作者：
Burmistrov M. I
中科院分区：
文献类型：
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作者：
Davydenko V. I.;Morozov N. V.;Burmistrov M. I
目前，所有采用公共电子采购系统的发达国家都创建了通用公共采购欺诈计划的语料库。执行具有欺诈嫌疑迹象的属性选择。首先，这是必要的，因为公共采购领域的欺诈是最常见的欺诈类型之一。为了完善现有的反腐败执法体系，我们提供了一种基于聚类分析和数据挖掘技术的公共采购领域数据分析和潜在威胁检测的新方法。
At present, all developed countries employing public eProcurement systems create a corpus of generic public procurement fraud schemes. A selection of attributes with fraud suspicion signs is performed. It is necessary to accomplish, first of all, because fraud in the public procurement sphere is one of the most common kinds of frauds. With a view to improve the existing anti-corruption enforcement system, we offer a new approach to the analysis of data and detection of potential threats in the sphere of public procurements based on cluster analysis and data mining techniques.