| DC Field | Value | Language |
|---|
| dc.contributor.author | Kurasova, Olga | - |
| dc.coverage.spatial | LT | - |
| dc.date.accessioned | 2019-05-29T23:12:21Z | - |
| dc.date.available | 2019-05-29T23:12:21Z | - |
| dc.date.issued | 2014 | - |
| dc.identifier.issn | 01322818 | - |
| dc.identifier.other | VDU02-000058343 | - |
| dc.identifier.uri | http://www.mii.lt/LMR/B/2014/55B12.pdf | - |
| dc.description | Leidinyje spausdinami Lietuvos matematikų draugijos LIV konferencijos darbai | - |
| dc.description.abstract | Šiame 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, RapidMiner | lt |
| dc.description.abstract | Data 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 purpose | en |
| dc.description.sponsorship | Vilniaus universitetas | - |
| dc.description.sponsorship | Vytauto Didžiojo universitetas | - |
| dc.description.sponsorship | Švietimo akademija | - |
| dc.format.extent | p. 60-65 | - |
| dc.language.iso | lt | - |
| dc.relation.ispartof | Lietuvos matematikos rinkinys. Serija B: Lietuvos matematikų draugijos darbai. , 2014, T. 55 | - |
| dc.subject | Duomenų tyryba | lt |
| dc.subject | Klasifikavimas | lt |
| dc.subject | Klasterizavimas | lt |
| dc.subject | Mokslinių darbų seka | lt |
| dc.subject | Data mining | en |
| dc.subject | Classification | en |
| dc.subject | Clustering | en |
| dc.subject | Scientific workflow | en |
| dc.subject.other | Informatika / Informatics (N009) | - |
| dc.title | Programinės sistemos duomenų tyrybos mokymui | lt |
| dc.title.alternative | Data mining systems for teaching | en |
| dc.type | Straipsnis recenzuojamoje Lietuvos konferencijos medžiagoje / Article in peer-reviewed Lithuanian conference proceedings (P1f) | - |
| dc.date.updated | 2019-10-25T14:11Z | - |
| local.object | {"source": {"code": "vdu", "handle": "58343"}, "publisher": {"list": false}, "db": {"clarivate": false, "scopus": false, "list": false}, "issn": ["0132-2818"], "code": "P1f", "subject": ["N009"], "url": ["http://www.mii.lt/LMR/B/2014/55B12.pdf"], "country": "LT", "language": "lt", "area": "N", "original": true, "pages": 6, "sheets": 0.429, "timestamp": "20191025141106.0", "account": {"year": 2014, "late": false}, "na": 1, "nip": 0, "affiliation": [{"contribution": 1, "aip": 2, "rel": "aut", "org": [{"create": false, "contribution": 0.5, "name": "Vilniaus universitetas", "id": "211950810"}, {"create": true, "contribution": 0.5, "name": "Vytauto Didžiojo universitetas", "id": "111950396", "level": "0", "type": "uni", "research": "1", "status": "1", "unit": {"name": "Švietimo akademija", "id": "08", "level": "1", "type": "fak", "research": "1", "status": "1"}}], "id": "DDC965361F1E596228637C42D52F5CA3", "lname": "Kurasova", "fname": "Olga", "status": "0", "name": "Kurasova, Olga"}]} | - |
| local.type | P | - |
| item.grantfulltext | open | - |
| item.fulltext | With Fulltext | - |
| crisitem.author.dept | Švietimo akademija | - |
| Appears in Collections: | Universiteto mokslo publikacijos / University Research Publications
|
