Combining Data Warehouse and Data Mining Techniques for Web Log Analysis

Torben Bach Pedersen; Søren Jespersen; Jesper Thorhauge

Combining Data Warehouse and Data Mining Techniques for Web Log Analysis

Torben Bach Pedersen
, Søren Jespersen
, Jesper Thorhauge

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Bidrag til bog/antologi › Forskning

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

Originalsprog	Engelsk
Titel	Data Mining and Warehousing: Concepts, Methodologies, Tools and Applications
Redaktører	John Wang
Vol/bind	6
Udgivelsessted	Hershey, PA, USA
Forlag	IGI Global
Publikationsdato	2008
Sider	3364-3385
ISBN (Trykt)	978-1-59904-951-9
ISBN (Elektronisk)	978-1-59904-952-6
Status	Udgivet - 2008

AUB Link

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Citationsformater

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Combining Data Warehouse and Data Mining Techniques for Web Log Analysis. / Pedersen, Torben Bach; Jespersen, Søren; Thorhauge, Jesper.
Data Mining and Warehousing: Concepts, Methodologies, Tools and Applications. red. / John Wang. Bind 6 Hershey, PA, USA: IGI Global, 2008. s. 3364-3385.

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Bidrag til bog/antologi › Forskning

TY - CHAP

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AU - Jespersen, Søren

AU - Thorhauge, Jesper

PY - 2008

Y1 - 2008

N2 - 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

AB - 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

M3 - Book chapter

SN - 978-1-59904-951-9

VL - 6

SP - 3364

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BT - Data Mining and Warehousing: Concepts, Methodologies, Tools and Applications

A2 - Wang, John

PB - IGI Global

CY - Hershey, PA, USA

ER -

Combining Data Warehouse and Data Mining Techniques for Web Log Analysis

Abstract

AUB Link

Fingeraftryk

Citationsformater