Analysis of the car acceptability assessment dataset using rough set theory and the RSES program
DOI:
https://doi.org/10.34767/SIMIS.2024.01.04Keywords:
rough set theory, dataset, data analysis data classification, RSESAbstract
The article focuses on data analysis using rough set theory and various methods such as the genetic algorithm, rule set classification and the cross-validation method. The complete data analysis process using RSES is also presented. The dataset used and the results of the analysis are discussed in the context of rough set theory. The article concludes with a summary and conclusions focusing on the aspect of the effectiveness of aforementioned methods in analysing the dataset and the efficiency of the program in terms of performing analysis in it.
References
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Provost F., Fawcett T., “Data Science for Business. What You Need to Know about Data Mining and DataAnalytic Thinking”, O'Reilly Media, 2013.
RSES 2.2. Rough Set Exploration System. Podręcznik Użytkownika. Publikacja elektroniczna, [Data dostępu: 19.01.2024] https://www.mimuw.edu.pl/~szczuka/rses/RSES_doc.pdf
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