On using a warehouse to analyze web logs

被引：19

作者：

Joshi, KP ^{[1
]}

Joshi, A ^{[1
]}

Yesha, Y ^{[1
]}

机构：

[1] Univ Maryland, Dept Comp Sci & Elect Engn, Baltimore, MD 21250 USA

来源：

DISTRIBUTED AND PARALLEL DATABASES | 2003年 / 13卷 / 02期

基金：

美国国家科学基金会;

关键词：

web mining; data warehouse; web logs; e-commerce; adaptive websites;

D O I：

10.1023/A:1021515408295

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Analyzing Web Logs for usage and access trends can not only provide important information to web site developers and administrators, but also help in creating adaptive web sites. While there are many existing tools that generate fixed reports from web logs, they typically do not allow ad-hoc analysis queries. Moreover, such tools cannot discover hidden patterns of access embedded in the access logs. We describe a relational OLAP (ROLAP) approach for creating a web-log warehouse. This is populated both from web logs, as well as the results of mining web logs. We discuss the design criteria that influenced our choice of dimensions, facts and data granularity. A web based ad-hoc tool for analytic queries on the warehouse was developed. We present some of the performance specific experiments that we performed on our warehouse.

引用

页码：161 / 180

页数：20

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