Open AccessAnalysis of the Web Sites Use as Learning Resources
Author(s) -
Miloslava Kašparová,
Martin Horčička,
Jiří Křupka
Publication year - 2022
Publication title -
international journal of computers
Language(s) - English
Resource type - Journals
ISSN - 1998-4308
DOI - 10.46300/9108.2022.16.7
Subject(s) - clementine (nuclear reactor) , association rule learning , computer science , set (abstract data type) , data mining , world wide web , information retrieval , data science , geography , programming language , remote sensing
This article deals with an analysis of the web sites use by the students for gaining the electronic study sources and discovering of associations in the data by selected algorithm. Association rules associate a particular conclusion with a set of conditions. The Generalized Rule Induction was applied. Models were designed in SPSS Clementine.