The research and application of web log mining based on the platform weka

摘要

Weka is a data mining platform based on Java with open source code, which gathers many machine learning algorithms to mine data, including data pretreatment, classification, cluster class, association rule mining and visual interactive page. The server will record massive web log files when user visits the website, each item of the files records related information of visitor, such as the time, IP address, action, request pages as well as the state and so on. The system mines web log on weka platform, it obtains the custom of different user to visit the website by processing and analyzing primary data, and mines unusual information, and provides the reference for the policy decision and construction of website. Simulation results show that, applying weka in web log mining, will obtain frequent model which user visits the website, optimize the website structure, and make convenient to build intelligence website.