一个改进了的用途数据预处理模型  

An Improved Model for Web Usage Data Preprocess

作　　者：张琦琪[1] 

机构地区：[1]上海第二工业大学计算机系

出　　处：《上海第二工业大学学报》2005年第4期18-22,共5页Journal of Shanghai Polytechnic University

摘　　要：在日志数据的预处理中,确定合适的挖掘粒度是一项重要任务。提出了一种改进了的用途数据预处理模型,在传统的预处理模型基础上添加了页面视图识别步骤,通过试验可以看到改进后的挖掘粒度有更加明确的语义表达,从而提高了挖掘精度。Finding a proper mining granularity is a crucial task, which should be finished in the log data preprocess. In this paper, we put forward an improved preprocess model of web usage data. An additional step, page view identification is appended to the common model, and then we realize the improved model through experiment; finally, from the sample result, the granularity has been detailed and more meaningful than before.

关 键 词：网络用途数据挖掘 日志预处理 拓扑结构 页面视图识别 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]