Data mining technique for collaborative server activity analysis

Mamčenko, Jelena; Kulvietienė, Regina

Use this url to cite publication: https://hdl.handle.net/20.500.14911/139347

Data mining technique for collaborative server activity analysis

Details

Publication Type (CRIS)

Straipsnis recenzuojamoje užsienio tarptautinės konferencijos medžiagoje / Article in peer-reviewed foreign international conference proceedings (P1d)

Publication Type (eLABa)

Straipsnis recenzuotame konferencijos darbų leidinyje / Article published in peer-reviewed conference proceedings (P1d)

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 activity analysis

[en]

Jelena Mamčenko, Regina Kulvietienė

Is part of

Proceedings of the WSEAS International Conferences NN'05, FS'05, EC'05 : Lisbon, Portugal, June 16-18, 2005

Published In

Year	Start Page	End Page
2005	76	79

Publisher

Lisbon : WSEAS Press, 2005

Extent

p. 76-79

URI

URI
https://hdl.handle.net/20.500.14911/139347

Science / Art Area

Technologijos mokslai / Technological sciences (T)

Field of Science / Art

Informatikos inžinerija / Informatics engineering (T007)

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, finding 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.