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User Behavior Monitoring Of High Trusted Network

Posted on:2012-04-23Degree:MasterType:Thesis
Country:ChinaCandidate:C H LiFull Text:PDF
GTID:2178330335460151Subject:Communication and Information System
Abstract/Summary:PDF Full Text Request
At present, the network have already made a rapid development, the services carried by the network and constantly increasing also presents a new features, meanwhile, Internet user behavior also displays diverse characteristics. The traditional vulgar network operation maintenance and operation mode suggests a more severe challenges. Don't grasp the user's network behavior, cannot be cleared of business development and marketing. For some bad information, sensitive information, such as the lack of effective identifying analysis method, it is easy to make this type of information on the Internet, the network of large-scale flood safety and credible pose a serious threat.Meanwhile, Internet user behavioral analysis demand has diversity characteristics, can also for different departments to provide a amount of important data, different business units have different focus. Business department mainly focus on the user's value analysis and value-added analysis, to formulate the corresponding marketing strategy and provide value-added telecom new business provides the basis, such as user login time habits, hot network business; etc. Operation maintenance department mainly about network of normal operation, such as the customer degree of satisfaction analysis, abnormal flux etc; Planning and construction department is mainly concerned with the network planning related network flow model, business development tendency.In this paper, the high trusted network users business behavior analysis on corresponding research, the research content mainly includes the following aspects:(1) to network users behavior classification and correlation analysis, (2) the user's interest preference analysis and prediction, (3) user behaviour hot analysis and business auditing, (4) Internet user behavior habit and preference analysis mining technology research.
Keywords/Search Tags:User classification, Correlation analysis, Social network analysis theory, User behavior prediction
PDF Full Text Request
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