FUSINTER: A Method for Discretization of Continuous Attributes

Djamel Abdelkader Zighed, S. Rabaséda, Ricco Rakotomalala · International Journal of Uncertainty Fuzziness and Knowledge-Based Systems · 1998

In induction graphs methods such as C4.51 or SIPINA2, taking continuous attributes into account needs particular discretization procedures. In this paper, we propose on the one hand, an axiomatic leading to a set of criteria which can be used for continuous attributes discretization, and on the other hand, a method of discretization called FUSINTER. The results obtained by FUSINTER are compared to those obtained by techniques developed by Fayyad and Irani3 and Kerber4 and they have proved better for the majority of the examples studied.

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