Data mining systems for teaching
Articles
Olga Kurasova
Vilniaus universitetas
Published 2014-12-20
https://doi.org/10.15388/10.15388/LMR.b.2014.12
PDF (Lithuanian)

Keywords

data mining
classification
clustering
scientific workflow

How to Cite

Kurasova, O. (2014) “Data mining systems for teaching”, Lietuvos matematikos rinkinys, 55(B), pp. 60–65. doi:10.15388/10.15388/LMR.b.2014.12.

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.

PDF (Lithuanian)

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