TO THE QUESTION OF CHOOSING FREE TOOLS TO STUDY DATA MINING COURSES IN HIGHER EDUCATION INSTITUTIONS
DOI:
https://doi.org/10.32782/cusu-pmtp-2024-2-12Keywords:
data mining; analytical packages; free software; cluster analysis, training of specialistsAbstract
Data Mining (DM) is one of the most important areas in the development of information technologies, so disciplines related to DM are included into the educational standard for the specialists in the field of computer sciences. However, the choice of training software are relevant, because, on the one hand, tools that are commonly used in the practical activity of enterprises, large IT companies, agencies specializing on data analysis are proprietary and quite expensive. On the other hand, the future specialists should be formed knowledge and skills in the use of basic methods and algorithms of data analysis, features of data preparation for the different types of analysis, formats for presenting the results of the analysis and the ability to interpret the results. In this case, the usage of free means will be quite acceptable for the educational purposes, provided that their functionality complianes with the objectives of the discipline. The article examines such types of software as spreadsheet programs, specialized packages and programming languages - for the usage of data analysis during the training. At the article some of these tools were compared. Examples of using SPSS, RapidMiner, Knime, Orange, Jasp and R for cluster analysis were given. However, the results of the pedagogical experiment show that the quality of learning of educational material does not depend on which software were used during studying the discipline. Therefore, when choosing software, it is advisable to evaluate their cost and functionality (coverage of methods of data mining, visualization tools, quality of results, etc.). A conclusion about the possibility of using free software if its functionality matchs the objectives of the learning was made.
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