第三方支付粗糙复杂网络知识发现方法研究  

Research on the Third-Party Payment Rough Complex Networks Knowledge Discovery Methods

作　　者：曹黎侠[1,2] 黄光球[1] 李艳[1] CAO Lixia;HUANG Guangqiu;LI Yan(College of Management, Xi..an University of Architecture and Technology, Xi..an 710055, China;College of Science, Xi..an Technological University, Xi..an 710032, China)

机构地区：[1]西安建筑科技大学管理学院,西安710055 [2]西安工业大学理学院,西安710032

出　　处：《计算机科学与探索》2016年第8期1143-1153,共11页Journal of Frontiers of Computer Science and Technology

基　　金：陕西省自然科学基础研究计划(重点)No.2015JZ010;西安市科协决策咨询课题No.201517;陕西省社会科学基金项目No.2014P07;陕西省教育厅科学计划研究项目No.16JK1369~~

摘　　要：第三方支付平台的可持续发展是一个错综复杂的问题,解决问题的关键之一是平台潜在客户的挖掘。建立了第三方支付粗糙复杂网络,通过对该粗糙复杂网络的上下近似度、度分布和度的概率主值的研究,构建了第三方支付粗糙复杂网络知识发现模型,给出了基于粗糙集理论的时间序列分析法的求解方法。第三方支付粗糙复杂网络知识发现方法的研究,为第三方支付平台潜在客户的挖掘提供了定量化可操作的方法。提出了粗糙复杂网络的有关概念,以及第三方支付粗糙复杂网络的度分布,为第三方支付有关问题的研究奠定了理论基础;知识发现方法的研究,适应了动态知识系统更新的需求,因此有着广泛的应用前景。Sustainable development of the third-party payment platform is a very complex problem, the key of problemis the mining of potential customers in trading platform. This paper establishes the third-party payment rough complexnetworks, defines rough approximation degree, the probability principal value of complex networks and degreedistribution, constructs a rough model of knowledge discovery, and gives a method based on rough set theory forknowledge discovery. The research on rough complex networks knowledge discovery method provides a quantitativeand actionable method, which can solve the potential customers mining issues of the rough complex networks. This paperpresents the concepts of rough complex networks, as well as degree distribution of the third- party payment roughcomplex networks, which lay the theoretical foundation for the third-party payment issues. The research on knowledgediscovery method adapts to the needs of dynamic knowledge system updates, so there is a broad application prospect.

关 键 词：第三方支付 粗糙复杂网络 时间序列分析 知识发现 

分 类 号：TP182[自动化与计算机技术—控制理论与控制工程] N945.12[自动化与计算机技术—控制科学与工程]