Skip to main navigation Skip to search Skip to main content

Combining Data Warehouse and Data Mining Techniques for Web Log Analysis

Research output: Contribution to book/anthology/report/conference proceeding › Book chapter › Research

Abstract

Enormous amounts of information about Web site user behavior are collected inWeb server logs. However, this information is only useful if it can be queried andanalyzed to provide high-level knowledge about user navigation patterns, a task thatrequires powerful techniques.This chapter presents a number of approaches thatcombine data warehousing and data mining techniques in order to analyze Web logs.After introducing the well-known click and session data warehouse (DW) schemas,the chapter presents the subsession schema, which allows fast queries on sequences
Original languageEnglish
Title of host publicationData Mining and Warehousing: Concepts, Methodologies, Tools and Applications
EditorsJohn Wang
Volume6
Place of PublicationHershey, PA, USA
PublisherIGI Global
Publication date2008
Pages3364-3385
ISBN (Print)978-1-59904-951-9
ISBN (Electronic)978-1-59904-952-6
Publication statusPublished - 2008

Fingerprint

Dive into the research topics of 'Combining Data Warehouse and Data Mining Techniques for Web Log Analysis'. Together they form a unique fingerprint.

Cite this