Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/97720
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dc.contributor.authorKurasova, Olga-
dc.coverage.spatialLT-
dc.date.accessioned2019-05-29T23:12:21Z-
dc.date.available2019-05-29T23:12:21Z-
dc.date.issued2014-
dc.identifier.issn01322818-
dc.identifier.otherVDU02-000058343-
dc.identifier.urihttp://www.mii.lt/LMR/B/2014/55B12.pdf-
dc.descriptionLeidinyje spausdinami Lietuvos matematikų draugijos LIV konferencijos darbai-
dc.description.abstractŠiame straipsnyje apžvelgiamos programinės sistemos, kurios gali būti naudojamos duomenų tyrybos dalykui mokyti(-s). Įprastai matematinės statistikos mokyme naudojamos tokios sistemos, kaip SPSS Modeler (Clementine), Statistica, SAS/STAT. Jos turi daug funkcijų, yra daugiau orientuotos į matematinės statistikos sprendžiamus uždavinius, todėl duomenų tyrybos mokymui ne visada tinka. Duomenų tyrybos mokymui tinkamesnės sistemos: WEKA, Orange, KNIME, RapidMinerlt
dc.description.abstractData mining systems suitable for data mining teaching have been investigated in the paper. Ussualy, such systems as SPSS Modeler (Clementine), Statistica, SAS/STAT are used in the mathematical statistics courses. However, they are not always suitable for data mining teaching. WEKA, Orange, KNIME, RapidMiner systems are more appropriate for this purposeen
dc.description.sponsorshipVilniaus universitetas-
dc.description.sponsorshipVytauto Didžiojo universitetas-
dc.description.sponsorshipŠvietimo akademija-
dc.format.extentp. 60-65-
dc.language.isolt-
dc.relation.ispartofLietuvos matematikos rinkinys. Serija B: Lietuvos matematikų draugijos darbai. , 2014, T. 55-
dc.subjectDuomenų tyrybalt
dc.subjectKlasifikavimaslt
dc.subjectKlasterizavimaslt
dc.subjectMokslinių darbų sekalt
dc.subjectData miningen
dc.subjectClassificationen
dc.subjectClusteringen
dc.subjectScientific workflowen
dc.subject.otherInformatika / Informatics (N009)-
dc.titlePrograminės sistemos duomenų tyrybos mokymuilt
dc.title.alternativeData mining systems for teachingen
dc.typeStraipsnis recenzuojamoje Lietuvos konferencijos medžiagoje / Article in peer-reviewed Lithuanian conference proceedings (P1f)-
dc.date.updated2019-10-25T14:11Z-
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local.typeP-
item.grantfulltextopen-
item.fulltextWith Fulltext-
crisitem.author.deptŠvietimo akademija-
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications
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