Data mining systems for teaching

Olga  Kurasova

doi:10.15388/10.15388/LMR.b.2014.12

Articles

Olga Kurasova

Vilniaus universitetas

Published 2014-12-20

https://doi.org/10.15388/10.15388/LMR.b.2014.12

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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.

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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.

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