Design And Implementation Of Research Office Website Data Mining Based On Association Rules

In recent years, the information technology develops rapidly. Meanwhile, all kinds of newtechnology emerge in an endless stream. People have increasingly rely on the efficient andconvenient service brought by the Internet, no matter in work or daily life process. Internet isa large pool of information resources, in which you can almost find any information that youwant. At the same time, as the most popular information platform, the website has becomeprimary propaganda trench, even the only profitable tool of each company. Website, no matterit belongs to company, agency unit or individual, should be based on the users. The website isvaluable only it has considerable number of users. The site is on the right path only thenumber of users is steadily increasing. The only objective evaluation of the success of thewebsite is the user. The user’s interest in accessing the site, and the impression of theenterprise to a large extent depends on whether the structure of the website is reasonable andits content is valuable. Therefore, the success of the website is not once and for all, cannotrely on a website building to solve all the problems. At the time the website running, theadministrator needs to adjust the structure and content of the website according to the user’saccess habits and access desires, and thus improve the user experience of the website.Therefore, it is very significant for the development of the website to deeply analyze the user’saccess rules.The behavior of users’ visiting on the site will be saved in the server log. The server log isan important source of information for the analysis of users’ behavior. We can understandusers’ IP address, visiting time, the website of visiting and keyword information of searchengine from the content of query log. These information mining for the Web log. Miningusers’ behavior patterns can provide important data support for optimizing systemperformance, improving the website structure and content. Finally, to achieve the purpose ofimproving users’ experience and increasing website traffic. Database and Research onIntelligent Network Laboratory of Jilin University website is the official website of theresearch lab. It is an important platform of the research lab for propagating andcommunicating. The paper targeted to the database and Intelligent Network Laboratory ofJilin University website as the object. Analyzing and researching different kind of theoriesand technologies of Web log mining of the process of the website optimizing. Based on analyzing and summarizing the relevant theory of data mining, this article,willing the database and intelligent network laboratory of Jilin university as the researchobject, mainly discusses the steps and methods of data preprocessing technology and therelevant knowledge and classical algorithm of association rules in Web log mining, and thenapplies these techniques to the Web log mining of Research Office. Then, according to theassociation rules that found, it made suggestions for improvement of the site, thus to improvethe user experience of research room site. Finally, this paper summarizes the study andpractice of the work, analysis the deficiencies caused by various limitations, and then discussthe direction and content of the next step work of the laboratory website data mining.