Research And Implementation Of Hotspot Information Mining And Propagation Model For Enterprise Network Log Data

With the development of large enterprises such as joint ventures and multinational corporations,the number of companies has continuously increased,and the construction of enterprise information has been continuously improved.On the one hand,higher requirements have been placed on the scientific management of enterprises,and optimized staffing will greatly increase the production efficiency of enterprises.On the other hand,corporate information security is increasingly important.The scope of control of information dissemination is particularly important for protecting important corporate data.Based on the analysis of hotspot information mining technology and information dissemination model,this article combines enterprise management practice with the help of hotspot information mining technology to determine the weight of enterprise event information and discover hot issues that enterprises are currently concerned with;Study and construct a complex network of enterprise information dissemination.Combine the static features and dynamic feature quantity of complex networks and the information dissemination model with the actual situation of enterprise management and information security management,propose suggestions for enterprise management,and construct an enterprise hotspot information mining and information dissemination model.Prototype,the research of hotspot information mining and enterprise information dissemination model is displayed and analyzed in the form of statistical charts.The main contents of this paper are as follows:(1)The hierarchical classificationbased weight determination strategy and the ranking aggregation-based hotspot information mining algorithm are proposed.The enterprise network log data is normalized by data de-noising and data de-duplication operations.The labeling method is used to determine the enterprise event weights,and the gradient descent method is used to calculate the relative weights of multiple information flows.Finally,the incident weights and the relative weights of the information flow are combined to discover the hot issues of the enterprise over a period of time;(2)The user is the node.Event information flow is an edge,constructing a complex network model of enterprise information dissemination.With the help of static features and dynamic features in complex network research,the characteristics of degree,degree distribution,and clustering are used to analyze the complex information dissemination network of enterprises.Features,combined with enterprise management and enterprise information security,analyzes the current problems of the company and constructs the enterprise information dissemination model,and from the perspective of probability analysis,calculates the spread of information in the complex network of enterprise information dissemination;(3)Designed and implemented an enterprise hotspot information mining and dissemination model system Detailed analysis of the overall system architecture and module implementation details,the research and systematic hotspot data mining and business information dissemination model to achieve the combination,and the results of the system by running tests show the system and visual effects.