Abstract
The design of non-linear visualizing transformations of data sets that allow for a good separation of classes (categories) on the diagnostic maps is considered. The proposed transformations are based on a model of the ranked family of decision rules. Such family of rules could be generated by separate and conquer algorithms.
This work was partially supported by the grant 8T11E00811 from the State Committee for Scientific Research (KBN) in Poland, and by the grant W/II/1/97 from Technical University of Białystok
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Bobrowski, L., Sowiński, T. (1998). Ranked rules and data visualization. In: Żytkow, J.M., Quafafou, M. (eds) Principles of Data Mining and Knowledge Discovery. PKDD 1998. Lecture Notes in Computer Science, vol 1510. Springer, Berlin, Heidelberg . https://doi.org/10.1007/BFb0094804
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DOI: https://doi.org/10.1007/BFb0094804
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