Abstract
We discuss a rough-set-based approach to the data mining process. We present a brief overview of rough-set-based data exploration and software systems for this purpose that were developed over the years. Then, we introduce the RapidRoughSets extension for the RapidMiner integrated software platform for machine learning and data mining, along with RoughSets package for R System – the leading software environment for statistical computing. We conclude with discussion of the road ahead for rough set software systems.
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CITATION STYLE
Janusz, A., Stawicki, S., Szczuka, M., & Ślęzak, D. (2015). Rough set tools for practical data exploration. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9436, pp. 77–86). Springer Verlag. https://doi.org/10.1007/978-3-319-25754-9_7
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