A Study on the Mining Access Patterns from Web Log Data

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概要

• 論文の詳細を見る

• Nowadays, the World Wide Web is continuing to expand at an amazing rate as a medium for conducting business in addition to disseminating information, and Web users are remarkably increasing. Human activities in virtual space as the Web are producing large volumes of data, and Web data mining to extract information from Web data has become an important research area. In this paper, we examine the features of Web log data and propose a method for transaction identification. We also introduce a new problem of user segmentation and present a method for solving this problem.

• 社団法人電子情報通信学会の論文
• 2002-04-01

著者

• Ahn Jeong

  Department Of Computer Science And Statistics Seonam University

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