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dc.contributor.authorMamčenko, Jelena
dc.contributor.authorŠileikienė, Irma
dc.date.accessioned2023-09-18T18:39:12Z
dc.date.available2023-09-18T18:39:12Z
dc.date.issued2007
dc.identifier.issn1790-0832
dc.identifier.other(BIS)VGT02-000022677
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/130279
dc.description.abstractThe data warehouse provides the data foundation for the data - the place when the data that goes into the process of knowledge discovers is stored. Data mining may be used to automatically perform knowledge discovery by giving the mining algorithm loose cues about potential relationships and letting the algorithm work on the data to discover the relationships and items to focus on further. OLAP is complimentary to data mining and is most likely the first, and most preferred, manner of discovering knowledge. OLAP works through a user performing specific, rather than general, interactive analysis with the data. If a data warehouse is present in the environment, either it or a data man. would be the database used by OLAP. In this article we tried to introduce possible ways of intelligent E-learning system's data analysis using data warehouse. OLAP and data mining technologies. Some aspects and suggestion of using these intelligent analysis components are presented. The Grid technology discussed below will help to mine gathered data more effectively without time and memory losses.eng
dc.formatPDF
dc.format.extentp. 858-862
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyINSPEC
dc.relation.isreferencedbyCompendex
dc.source.urihttp://www.worldses.org/journals/information/old.htm
dc.titleExamination of e-learning system based on intelligent data analysis
dc.typeStraipsnis Scopus DB / Article in Scopus DB
dcterms.references16
dc.type.pubtypeS2 - Straipsnis Scopus DB / Scopus DB article
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 007 - Edukologija / Educology
dc.subject.enIntelligent data analysis
dc.subject.enE-Learning
dc.subject.enOLAP
dc.subject.enData mining
dc.subject.enData warehouse
dc.subject.enGrid
dcterms.sourcetitleWSEAS transactions on information science and applications
dc.description.issueiss. 4
dc.description.volumevol. 4
dc.publisher.nameWSEAS Press
dc.publisher.cityAthens
dc.identifier.elaba3941524


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