Meaningful discretization of continuous features for association rules mining by means of a SOM.
Marco Vannucci, Valentina Colla · CINECA IRIS Institutional Research Information System (Sant'Anna School of Advanced Studies) · 2004
Abstract. The paper presents the problem of the unsupervised discretization of continuous attributes for association rules mining. It shows commonly used techniques for this aim and highlights their principal limitations. To overcome such limitations a method based on the use of a SOM is presented and tested over various real world datasets. 1