Mining Traversal Patterns on the Internet(Databases)

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概要

• 論文の詳細を見る

• Mining traversal patterns on the Internet is one of critical issues for exploring the user access behaviors. In this paper, we propose a new data mining scheme for mining frequent trip traversal patterns on the Internet. First, we define a trip traversal as a historical contiguous sequence of web sites or web pages, which were surfed or visited on an information-providing system by one user. Next, we derive all of the maximal trip traversals by analyzing and filtering these collected trip traversals. For mining the large trip traversals from the maximal trip traversals, we present a data mining scheme integrated with the schemes presented in [4]. Here, the extracted large trip traversals can be thought of as the realistic frequent browsed behaviors for most of users either on a web site or on an information-providing system, such as a proxy server. Finally, we implement and design a data mining system to explore the large trip traversal patterns in order to capture user access patterns to some proxy server.

• 一般社団法人電子情報通信学会の論文
• 2003-12-01

著者

• Chen Tzung-shi

  Department Of Information Management Chang Jung University

関連論文

• An Improvement of Tree-Based Multicasting for Irregular Switch-Based Networks with Wormhole Routing
• Mining Traversal Patterns on the Internet
• Mining Traversal Patterns on the Internet(Databases)

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