An approach to support education of data mining algorithms

The aim of this article is to describe the design, implementation and evaluation of the educational application to support learning of data mining algorithms. The role of the application is to help students to better understand the algorithms such as Naive Bayes classifier, decision trees and associ...

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Veröffentlicht in:	SAMI : 2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics : 26-28 January 2017 S. 000093 - 000098
Hauptverfasser:	Muchova, M., Paralic, J., Jancus, M.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.01.2017
Schlagworte:	Algorithm design and analysis Apriori association rules Classification algorithms Data mining decision tree algorithm C4.5 Decision trees Education educational application MATLAB MATLAB GUI Naive Bayes classifier
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