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Web mining and its SQL based parallel execution

机译:Web挖掘及其基于SQL的并行执行

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摘要

Web mining can be classified into two categories, Web access log mining and Web structure mining. 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 parallel association rule mining is explored on large scale PC cluster system. Parallelism is key to improve the performance. We achieved substantial speed up through parallel SQL execution.
机译:Web挖掘可以分为两类,Web访问日志挖掘和Web结构挖掘。我们针对在NTT Software移动信息搜索门户网站上累积的访问日志执行了关联规则挖掘和序列模式挖掘。本文报告了详细的Web日志挖掘过程和我们得出的规则。在大型PC集群系统上探索了并行关联规则挖掘。并行性是提高性能的关键。通过并行SQL执行,我们大大提高了速度。

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