关键词: Web 日志挖掘, 旅客分类, 访问兴趣

Abstract:

With the popularity of wireless networks,the analysis of the users' online behavior has become into an important way for all units to improve service quality and increase the benefits of growth. An overview of Web log mining concepts,methods and steps are provided. And to the users' visiting behavior on WLAN of aircraft,we work on the data p-reprocessing. Combining the passengers' seat numbers with users' basic information,and classifying the passengers into different types. Through calculating and analyzing the users' accessing interests,we finally make a conclusion of the interest distribution of different types.

Key words: Web log mining, passenger classification, browsing interest