Application of data mining technologies for analysis of Šiauliai university’s young computer users’ school

The paper analyses possibilities of using data mining technologies for investigation of activity of Šiauliai university’s young computer users’ school. The application’s domains, principal stages of mining model’s creation are analyzed. Data mining models young computer users’ school was made by us...

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Main Authors: Sigita Turskienė, Genadijus Kulvietis, Renata Burbaitė
Format: Article
Language:English
Published: Vilnius University Press 2003-12-01
Series:Lietuvos Matematikos Rinkinys
Online Access:https://www.journals.vu.lt/LMR/article/view/32422
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author Sigita Turskienė
Genadijus Kulvietis
Renata Burbaitė
author_facet Sigita Turskienė
Genadijus Kulvietis
Renata Burbaitė
author_sort Sigita Turskienė
collection DOAJ
description The paper analyses possibilities of using data mining technologies for investigation of activity of Šiauliai university’s young computer users’ school. The application’s domains, principal stages of mining model’s creation are analyzed. Data mining models young computer users’ school was made by using WIZWHY, XPERTRULE MINER, STATGRAPHICS, INTELLIGENT MINER SYSTEMS. The basic tendencies of young computer users’ school activity are presented and the recommendations for school’s activity improvement are formulated.
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spelling doaj.art-4abd083c4b2d462ea755eef9dfdd115b2024-04-23T09:03:37ZengVilnius University PressLietuvos Matematikos Rinkinys0132-28182335-898X2003-12-0143spec.10.15388/LMR.2003.32422Application of data mining technologies for analysis of Šiauliai university’s young computer users’ schoolSigita Turskienė0Genadijus Kulvietis1Renata Burbaitė2Siauliu UniversitySiauliu UniversitySiauliu University The paper analyses possibilities of using data mining technologies for investigation of activity of Šiauliai university’s young computer users’ school. The application’s domains, principal stages of mining model’s creation are analyzed. Data mining models young computer users’ school was made by using WIZWHY, XPERTRULE MINER, STATGRAPHICS, INTELLIGENT MINER SYSTEMS. The basic tendencies of young computer users’ school activity are presented and the recommendations for school’s activity improvement are formulated. https://www.journals.vu.lt/LMR/article/view/32422
spellingShingle Sigita Turskienė
Genadijus Kulvietis
Renata Burbaitė
Application of data mining technologies for analysis of Šiauliai university’s young computer users’ school
Lietuvos Matematikos Rinkinys
title Application of data mining technologies for analysis of Šiauliai university’s young computer users’ school
title_full Application of data mining technologies for analysis of Šiauliai university’s young computer users’ school
title_fullStr Application of data mining technologies for analysis of Šiauliai university’s young computer users’ school
title_full_unstemmed Application of data mining technologies for analysis of Šiauliai university’s young computer users’ school
title_short Application of data mining technologies for analysis of Šiauliai university’s young computer users’ school
title_sort application of data mining technologies for analysis of siauliai university s young computer users school
url https://www.journals.vu.lt/LMR/article/view/32422
work_keys_str_mv AT sigitaturskiene applicationofdataminingtechnologiesforanalysisofsiauliaiuniversitysyoungcomputerusersschool
AT genadijuskulvietis applicationofdataminingtechnologiesforanalysisofsiauliaiuniversitysyoungcomputerusersschool
AT renataburbaite applicationofdataminingtechnologiesforanalysisofsiauliaiuniversitysyoungcomputerusersschool