Abstract
Decision Trees constitute a common knowledge structure to express the results of an Inductive Process. A computer system called UIB-IK, to induce decision trees from an initial collection of examples is presented. General properties of this tool are compared to those from some very known systems, such as the ID3, ID5, C4.5 and AQ11 systems. Performance qualities of UIB-IK are exposed on the basis of its functional model, and a synthesized description of two complex real applications is presented. The modular design together with the programming techniques used to implement the final program, makes UIB-IK to be a consistent and parameterized software tool, capable to cope a large range of problems.
This paper has been partially supported by the Comision Interministerial de Ciencia y Technología through the TAP96-1114-C03-02 Project.
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Fiol-Roig, G. (1999). UIB-IK: A computer system for decision trees induction. In: Raś, Z.W., Skowron, A. (eds) Foundations of Intelligent Systems. ISMIS 1999. Lecture Notes in Computer Science, vol 1609. Springer, Berlin, Heidelberg . https://doi.org/10.1007/BFb0095149
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DOI: https://doi.org/10.1007/BFb0095149
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