大数据背景下职务犯罪预防途径和方法

The Channels and Methods of Prevention against Duty Crime on the background of Big Data

新时期职务犯罪不仅涉案金额巨大和职务层次广泛,而且罪犯的证据意识觉醒,犯罪线索更加隐蔽,留给组织机构审查的直接证据变少,而以潜在关联的碎片化电子数据的间接信息增多,以纪检监察为主体的组织机构依靠传统手段很难获取关联证据,因此易失察于职务犯罪的渐进过程。为了前移监督和预防职务犯罪的功能,采用大数据技术可以建立相关分析模式,通过将不同数据源的组织内部数据和社会动态数据进行关联和比对,可以分析职务犯罪的线索以及预测其发展趋势。

The features of duty crime involving in new period not only are the huge amount of money, the wide range of position level, but also are the awakening consciousness of criminal＇ s evidence and more hidden crime clues leading to the decrease of direct evidence which left for organization concern to review, however, the indirect information which are potential correlated each other in fragmented electronic data is increasing. The above aspects result in the difficulty of collecting evidence associated by traditional means under organization which focuses on the disciplinary inspection and supervision. Therefore, it could be an easy oversight for a gradual process of duty crime. In order to move forward the function of supervision and prevention for duty crime, big data technique is adopted to establish a correlative analysis mode, which can analyze clues of duty crime and predict its development trend by correlating and comparing among internal data of organizations and social dynamic data from different data sources.