R.ROSETTA is a toolkit for analyzing tabular data within the framework of rough set theory. R.ROSETTA is designed to support the overall data mining and knowledge discovery process: From initial browsing and preprocessing of the data, via computation of minimal attribute sets and generation of if-then rules or descriptive patterns, to validation and analysis of the induced rules or patterns.
|Author||Mateusz Garbulowski [aut, cre], Karolina Smolinska [aut, cre], Jan Komorowski [aut]|
|Maintainer||Mateusz Garbulowski <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on GitHub|
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