dc.contributor.author | Mamčenko, Jelena | |
dc.contributor.author | Kulvietienė, Regina | |
dc.date.accessioned | 2023-09-18T19:28:23Z | |
dc.date.available | 2023-09-18T19:28:23Z | |
dc.date.issued | 2005 | |
dc.identifier.other | (BIS)VGT02-000011372 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/139697 | |
dc.description.abstract | 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. | eng |
dc.format.extent | p. 530-533 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.relation.isreferencedby | INSPEC | |
dc.title | Data mining technique for collaborative server activity analysis | |
dc.type | Straipsnis kitoje DB / Article in other DB | |
dcterms.references | 8 | |
dc.type.pubtype | S3 - Straipsnis kitoje DB / Article in other DB | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
dc.contributor.faculty | Fundamentinių mokslų fakultetas / Faculty of Fundamental Sciences | |
dc.subject.researchfield | T 007 - Informatikos inžinerija / Informatics engineering | |
dc.subject.researchfield | S 004 - Ekonomika / Economics | |
dcterms.sourcetitle | WSEAS Transactions on Information Science and Applications | |
dc.description.issue | iss. 5 | |
dc.description.volume | Vol. 2 | |
dc.publisher.name | WSEAS Press | |
dc.publisher.city | Athens | |
dc.identifier.elaba | 3719857 | |