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@INPROCEEDINGS{-->97rosetta--,
    author = {Aleksander Øhrn<!-- Ohrn --> and Jan Komorowski and Er ��hrn Jan Komorowski},
    title = {ROSETTA -- A Rough Set Toolkit for Analysis of Data},
    booktitle = {Proc. Third International Joint Conference on Information Sciences},
    year = {1997},
    pages = {403--407}
}

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Abstract:

Fields pertaining to the construction of models on the basis of empirical data necessarily have a high experimental content, thus rendering the need for a suitable set of flexible tools. This paper presents the Rosetta system, a toolkit for pattern recognition and data mining within the framework of rough set theory. The system comprises both a general C++ class library as well as a GUI front-end running under Windows NT, and has been constructed using well-proven objectoriented design patterns with maintainability, extensibility and flexibility and ease of use as principal design parameters. Together, the kernel and the frontend constitute a powerful vehicle for practical rough set related research and applications in data mining. 1 Introduction Fields concerning themselves with empirical modelling necessarily have a high experimental content, both because the sought after relationships are unknown in advance and because real-world data is often noisy and imperfect. The overall mode...

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