The aim of this study is to provide visual pruning and decision tree selection for classification
and regression trees. Specifically, we introduce an unedited tree graph to be made …

Abstract Data Fusion and Data Grafting are concerned with combining files and information
coming from different sources. The problem is not to extract data from a single database, but …

The framework of this paper is supervised learning using classification trees. Two types of
variables play a role in the definition of the classification rule, namely a response variable …

In this paper, multivalued data or multiple values variables are defined. They are typical
when there is some intrinsic uncertainty in data production, as the result of imprecise …

This paper proposes a regression tree methodology that considers the relationships among
variables belonging to different levels of a data matrix which is characterized by a …

This chapter aims at providing an overview about the use of statistical methods supporting
the Web Usage Mining. Within the first part is described the framework of the Web Usage …

This paper provides a tree-based methodology to deal with three-way data sets. The aim is
to partition cases on the basis of a set of attributes measured in various situations. A …

In this paper, multivalued data or multiple values variables are defined. They are typical
when there is some intrinsic uncertainty in data production, as the result of imprecise …

In this paper, multivalued data or multiple values variables are defined. They are typical
when there is some intrinsic uncertainty in data production, as the result of imprecise …

The discriminant levers of customer satisfaction: the Sepsa case ABSTRACT: The
discriminant levers of customer satisfaction: the Sepsa case Objectives The modern …