Abstract: The framework of this short paper is tree-based models for three-way data. Three-way data are data that are classified in three ways. Three way data are obtained when prior information play a role in the analysis. Thus, they can be derived when a stratifying variable is used to distinguish either groups of variables or groups of objects. Three way data can be analysed by exploratory methods as well as confirmatory methods. Recently, we have introduced a methodology for classification and regression trees in order to deal specifically with three-way data. So far we have developed only partitioning procedures discarding the induction point of view
Three-valued reasoning or three-way decision modelling theory (3WD) offers a natural, human-intuitiv...
Abstract Background In many studies, it is of interest to identify population subgroups that are rel...
Abstract—Decision trees are considered to be one of the most popular approaches for representing cla...
EnThe framework of this short paper is tree-based models for three-way data. Three-way data are data...
This paper provides a tree-based methodology to deal with three-way data sets. The aim is to partiti...
stage segmentation Introduction. This work is to be set within the study context of supervised class...
Three-way methods are multivariate data analysis tools that compress and visualize simultaneous vari...
Three-way methods are multivariate data analysis tools that compress and visualize simultaneous vari...
Il lavoro di tesi di dottorato è strutturato in sei capitoli. Dopo una breve analisi dello status qu...
Decision Tree Induction (DTI) is a tool to induce a classification or regression model from (usually...
Although for some research areas it is a new thing, multi-way data analysis is a multivariate analys...
This paper describes the use of decision tree and rule induction in data mining applications. Of met...
A novel clustering model for three-way data concerning a set of objects on which variables are measu...
Three-way component analysis techniques are designed for descriptive analysis of 3-way data, for exa...
Three-way component analysis techniques are designed for descriptive analysis of 3-way data, for exa...
Three-valued reasoning or three-way decision modelling theory (3WD) offers a natural, human-intuitiv...
Abstract Background In many studies, it is of interest to identify population subgroups that are rel...
Abstract—Decision trees are considered to be one of the most popular approaches for representing cla...
EnThe framework of this short paper is tree-based models for three-way data. Three-way data are data...
This paper provides a tree-based methodology to deal with three-way data sets. The aim is to partiti...
stage segmentation Introduction. This work is to be set within the study context of supervised class...
Three-way methods are multivariate data analysis tools that compress and visualize simultaneous vari...
Three-way methods are multivariate data analysis tools that compress and visualize simultaneous vari...
Il lavoro di tesi di dottorato è strutturato in sei capitoli. Dopo una breve analisi dello status qu...
Decision Tree Induction (DTI) is a tool to induce a classification or regression model from (usually...
Although for some research areas it is a new thing, multi-way data analysis is a multivariate analys...
This paper describes the use of decision tree and rule induction in data mining applications. Of met...
A novel clustering model for three-way data concerning a set of objects on which variables are measu...
Three-way component analysis techniques are designed for descriptive analysis of 3-way data, for exa...
Three-way component analysis techniques are designed for descriptive analysis of 3-way data, for exa...
Three-valued reasoning or three-way decision modelling theory (3WD) offers a natural, human-intuitiv...
Abstract Background In many studies, it is of interest to identify population subgroups that are rel...
Abstract—Decision trees are considered to be one of the most popular approaches for representing cla...