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dc.contributor.authorMamčenko, Jelena
dc.contributor.authorBelevičiūtė, Inga
dc.date.accessioned2023-09-18T19:58:16Z
dc.date.available2023-09-18T19:58:16Z
dc.date.issued2007
dc.identifier.other(BIS)VGT02-000016005
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/145319
dc.description.abstractA huge amount of data, relevant information must be identified, structured, and directed toward work processes to effectively facilitate or enable the achievement of goals and end products. Knowledge management structures, maintains, and provides access to knowledge within information systems. Data mining extracts relevant tacit knowledge from information system assets through data correlation. The paper describes how data mining techniques can be used for knowledge management in technology enhanced learning.eng
dc.format.extentp. 115-119
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyISI Proceedings (nenaudotinas)
dc.titleData mining for knowledge management in technology enhanced learning
dc.typeStraipsnis konferencijos darbų leidinyje Web of Science DB / Paper in conference publication in Web of Science DB
dcterms.references17
dc.type.pubtypeP1a - Straipsnis konferencijos darbų leidinyje Web of Science DB / Article in conference proceedings Web of Science DB
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyFundamentinių mokslų fakultetas / Faculty of Fundamental Sciences
dc.subject.researchfieldT 007 - Informatikos inžinerija / Informatics engineering
dc.subject.researchfieldS 004 - Ekonomika / Economics
dc.subject.enData mining
dc.subject.enKnowledge management
dc.subject.enKnowledge discovery
dc.subject.enE-learning
dcterms.sourcetitleProceedings of the 6th WSEAS International Conferences on Applications of Electrical Engineering (AEE'07): Istanbul, Turkey, May 27-29, 2007
dc.publisher.nameWSEAS Press
dc.publisher.cityIstanbul
dc.identifier.elaba3807047


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