Abstract:

　This paper analyses the Web Log data of a real estate website from February to June 2012. After preprocessing the raw data, by using the methods of simple association rule and sequence association rule, it finds the characteristics of the user’s search behavior and browsing preferences. Bosed on the findings,the paper provides suggestions to the website to improve the user’s accessing experience.

Key words: Web log mining, 　Apriori algorithm, 　Association rule, 　User behavior analysis