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2. Web Log Mining and Parallel SQL Based Execution

1]Masaru Kitsuregawa Contact Information, Takahiko ShintaniContact Information, Takeshi YoshizawaContact Information and Iko PramudionoContact Information

(5)  Institute of Industrial Science, The University of Tokyo, 7-22-1 Roppongi Minato-ku, 106 Tokyo, Japan
Abstract
We performed association rule mining and sequence pattern mining against the access log which was accumulated at NTT Software Mobile Info Search portal site. Detail web log mining process and the rules we derived are reported in this paper. The integration of web data and relational database enables better management of web data. Some researches have even tried to implement applications such as web mining with SQL. Commercial RDBMSs support parallel execution of SQL. Parallelism is key to improve the performance. We showed that commercial RDBMS can achieve substantial speed up for web mining.
IBM Japan Co.,Ltd. 1-1, Nakase, Mihama-ku, Chiba-shi, Chiba 261-8522, Japan

Contact Information 1]Masaru Kitsuregawa
Email: kitsure@tkl.iis.u-tokyo.ac.jp

Contact Information Takahiko Shintani
Email: shintani@tkl.iis.u-tokyo.ac.jp

Contact Information Takeshi Yoshizawa
Email: yoshi@tkl.iis.u-tokyo.ac.jp

Contact Information Iko Pramudiono
Email: iko@tkl.iis.u-tokyo.ac.jp
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