首页> 外文会议>IFIP TC12/WG12.3 International Conference on Intelligent Information Processing(IIP2004); 20041021-23; Beijing(CN) >RESEARCH AND APPLICATION IN WEB USAGE MINING OF THE INCREMENTAL MINING TECHNIQUE FOR ASSOCIATION RULE
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RESEARCH AND APPLICATION IN WEB USAGE MINING OF THE INCREMENTAL MINING TECHNIQUE FOR ASSOCIATION RULE

机译:关联规则增量挖掘技术在Web使用挖掘中的研究与应用

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摘要

The paper analyzes some existing incremental mining algorithms for association rule and presents an incremental mining algorithm for association rule fit for Web Usage Mining. Because there are some characteristics of web logs which are dynamic, attributed, smaller and updated frequently, the algorithm uses BORDERS algorithm when mining single log file, and takes advantage of partition algorithm when mining many log files simultaneously.
机译:本文分析了一些现有的关联规则增量挖掘算法,并提出了适合于Web用法挖掘的关联规则增量挖掘算法。由于Web日志具有动态,属性,较小和经常更新的某些特征,因此该算法在挖掘单个日志文件时使用BORDERS算法,而在同时挖掘多个日志文件时则利用分区算法。

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