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Research And Implementation Of University Web Log Mining System Based On Apriori Algorithm

Posted on:2019-07-20Degree:MasterType:Thesis
Country:ChinaCandidate:C LiFull Text:PDF
GTID:2428330575492226Subject:Engineering
Abstract/Summary:PDF Full Text Request
With the development of information construction in university,more and more universities are beginning to build a digital web site that is consistent with the reality of its own development.Digital website has developed into a powerful medium for school administrators to communicate with teachers and students,and it is also a key platform for outsiders to fully explore the school situation.Therefore,the unreasonable design of websites in university directly affects the overall impression of the users on the university.In view of the continuous growth trend of Web site access,web sites are becoming increasingly complex to meet the needs of users and Some websites show that the efficiency of access to related resources is reduced,the interest of the survey is scarce,and the design of the links between pages is not reasonable.With the help of in-depth exploration and analysis of association rules,Web log mining and other technologies,this paper designs a comprehensive demand for Web log mining system in university,applying for SpringMVC,Spring,MyBatis,Maven,MySQL and other technology,by mining the user access to a large number of Web log in university on the Web server,to achieve a set of university Web log mining system based on Apriori algorithm,to improve the site structure,improve the user experience is essential.In connection with the development of university,the system is designed as a user management and many other functional modules.Firstly,the original Web log information obtained by the system completes the preprocessing control,such as import control,cleaning processing,and user identification analysis.Secondly,the minimum support degree and minimum confidence level are set to mine the frequent path information of user access control,and to identify the potential association between pages.Finally,the system shows the results of mining and analyzing in graph form,and then grasps users' browsing habits and site's overall access.It provides basis for site structure adjustment and page link optimization,and provides effective information reference for the construction of the optimization and processing of the follow-up website.
Keywords/Search Tags:Web log mining, Apriori algorithm, association rule, data preprocessing
PDF Full Text Request
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