Abstract
In this paper we describe system CABRO for decision tree induction (DTI) that contributes to the combination of machine learning, visualisation and model selection techniques. We first discuss some issues in data mining and briefly introduce R-measure for attribution selection problem in DTI. We then present the DTI interactive visualisation system CABRO, based on R-measure and a combination of several DTI techniques, in which we focus on solutions to two problems: (1) support for understanding of large decision trees, and (2) support for interactive learning and model selection.
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© 1998 Springer-Verlag Berlin Heidelberg
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Ho, T.B., Nguyen, T.D. (1998). Interactive visualisation for predictive modelling with decision tree induction. 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/BFb0094816
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DOI: https://doi.org/10.1007/BFb0094816
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