企业移动网站中投资盈利信息检测仿真研究

Research on the Detection and Simulation of Investment Profit in Enterprise Mobile Website

对企业移动网站中投资盈利信息进行有效检测,可以更好地完善有效盈利模式。进行投资盈利信息检测时,应计算信息离散型随机事件的信息熵,根据信息熵将投资盈利信息划分为多个微聚类,给出投资盈利信息判断阈值完成检测,但是传统方法建立投资盈利信息检测的目标函数完成检测,不能准确地计算信息熵,无法对投资盈利信息进行微聚类和阈值计算,降低了检测的准确性。提出基于层次聚类的新型企业移动网站中投资盈利信息检测方法。首先确定企业移动网站中信息离散型随机事件的信息熵,求取网络门户信息时间序列中距离首尾两端点连线最远的距离,对企业移动网站中信息时间序列中的重要点进行分段,计算出于序列段内信息熵,并将各序列段信息熵划分为多个微聚类,采用信息熵的过滤机制计算出门户网站投资盈利信息熵分布概率,给出投资盈利信息判断阈值,并完成对企业移动网站中投资盈利信息检测。仿真结果表明,所提方法检测精确高,为企业移动网站的发展趋势奠定了基础。

In this paper, we propose a method for detection of investment profit information in new enterprise mobile website based on hierarchical clustering. Firstly, information entropy of random event with type of information discrete was confirmed and the farthest distance from line of head and tail endpoint was solved in time series of information of web portal. Then, important point in the time series of information was segmented and information entropy in subsequence was worked out. Meanwhile, information entropy of each sequence was divided into lots of micro clusters. Moreover, filtering mechanism of information entropy was used to work out distribution probability of information entropy of investment profit in web portal, and value of judging threshold of the investment profit information was provided. Finally, the detection was completed. Following conclusion can be drawn from simulation results. The mentioned above has higher detection precision and lays a foundation for development tendency of the enterprise mobile website.