Web Log Mining and Parallel SQL Based Execution

Authors:
Masaru Kitsuregawa;Takahiko Shintani;Takeshi Yoshizawa;Iko Pramudiono
Affiliations:
-;-;-;-
Venue:
DNIS '00 Proceedings of the International Workshop on Databases in Networked Information Systems
Year:
2000

Citing 15
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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.