基于大数据的铁路工程投标企业异常行为预警研究

基于铁路工程电子招投标积累的海量数据,识别预警具有异常行为的铁路工程投标企业。运用社团结构检测分析识别具有抱团行为的投标企业;再通过函数拟合预测投标企业中标次数,根据实际值与预测值的标准残差所落置信区间范围,分析识别中标次数异常的投标企业;最后综合分析2种方法的结果,构建铁路工程投标企业异常行为分级预警模型,识别具有串围标嫌疑的企业并分级预警。研究结果表明:基于铁路工程电子招投标大数据,综合社团结构检测和函数拟合分析两种方法,可以有效识别预警铁路工程投标企业的异常行为。

Research on early warning of abnormal behavior of railway engineering bidding enterprises based on big data

Based on the accumulated data of railway engineering electronic bidding, the railway engineering bidding enterprises with abnormal behavior was identified and early warned. Firstly, this paper used the community structure detection to analyze and identify the bidding enterprises with group behavior. Secondly, by predicting the successful bid number of bidding enterprises by function fitting, and calculating the location of the standard residuals of actual value and predicted value for the confidence interval range, the bidding enterprise with the abnormal number of successful bids was analyzed and identified. Finally, considering the results of the two methods, and building an early classification warning model for the abnormal behavior of railway engineering bidding enterprises, enterprises under suspicion of together-conspired bidding and contacting bid was identified and early classification warned. The research shows that the railway project electronic bidding big data can effectively identify and early warn the railway engineering bidding enterprises with abnormal behavior, comprehensively using the two methods which includes community structure detection and function fitting analysis.