ROSETTA -- A Rough Set Toolkit for Analysis of Data

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 exible 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 object-oriented design patterns with maintainability, exten-sibility and exibility and ease of use as principal design parameters. Together, the kernel and the front-end constitute a powerful vehicle for practical rough set related research and applications in data mining.