Abstract
In this paper the impact of improving Boxplot based discretization (BbD) on the methodology of Boxplot based induction rules (BbIR), oriented to the automatic generation of conceptual descriptions of classifications that can support later decision-making is presented.
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Gibert, K., Pérez-Bonilla, A. (2006). Revised Boxplot Based Discretization as the Kernel of Automatic Interpretation of Classes Using Numerical Variables. In: Batagelj, V., Bock, HH., Ferligoj, A., Žiberna, A. (eds) Data Science and Classification. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg . https://doi.org/10.1007/3-540-34416-0_25
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DOI: https://doi.org/10.1007/3-540-34416-0_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34415-5
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