Traditional clustering is a descriptive task that seeks to identify homogeneous groups of objects based on the values of their attributes. While domain knowledge is always the bes...
The Web consists of a large amount of unstructured information that hardly can be elaborated by automatic agents. In recent years, a considerable number of techniques for informat...
Leonardo Rigutini, Ernesto Di Iorio, Marco Ernande...
Web Usage Mining enables new understanding of user goals on the Web. This understanding has broad applications, and traditional mining techniques such as association rules have bee...
Abstract. We present The Cruncher, a simple representation framework and algorithm based on minimum description length for automatically forming an ontology of concepts from attrib...
Generalization of the covariance concept is discussed for mixed categorical and numerical data. Gini's definition of variance for categorical data gives us a starting point to...