Data mining technique for collaborative server log file analysis

Mamčenko, Jelena; Kulvietienė, Regina

Use this url to cite publication: https://hdl.handle.net/20.500.14911/139696

Data mining technique for collaborative server log file analysis

Details

Publication Type (CRIS)

Straipsnis kitoje duomenų bazėje / Article in other database (S4)

Publication Type (eLABa)

Straipsnis kitoje DB / Article in other DB (S3)

Author(s)

Author	Affiliation
Mamčenko, Jelena	Informacinių sistemų katedra / Department of Information Systems (1046)
Kulvietienė, Regina	Informacinių technologijų katedra / Department of Information Technologies (1047)

Title

Data mining technique for collaborative server log file analysis

[en]

Jelena Mamčenko, Regina Kulvietienė

Is part of

WSEAS Transactions on Information Science and Applications

Published In

Year	Volume	Issue	Start Page	End Page
2005	2	8	1111	1115

Publisher

Athens : WSEAS Press

Referenced in Database(s)(DBs)

INSPEC

Extent

p. 1111-1115

URI

URI
https://hdl.handle.net/20.500.14911/139696

Cited references

Science / Art Area

Technologijos mokslai / Technological sciences (T)

Field of Science / Art

Informatikos inžinerija / Informatics engineering (T007)

Ekonomika / Economics (S004)

Keywords (en)

Abstract (en)

Most people, companies and organizations put information on the Web because they want it to be seen by the world. Their goal is to have visitors come to the site, feel comfortable and stay awhile. The goal of Vilnius Technical University Information Technology department is constructive and convenient web site for study purposes, gathering useful information, rinding free workplaces in labour exchange, electronic library and others. To make know better web site visitors needs we have analysed access log file using modern Data Mining technique. This article treats data mining possibility for web site analysis.