The present research deals with the grouping of individuals, who are determined by a number of categorical, ordinal and quantitative variables. This research applies the method of ascendant hierarchical classification (CAH), using as criterion, the inertia and the distance metrics of X2. The...

TREPAN is decision tree algorithm that utilises artificial neural networks (ANNs) in order to improve partitioning conditions when sample data is sparse. When sample sizes are limited during the tree-induction process, TREPAN relies on an ANN oracle in order to create artificial sample...

This paper explores the experience of two academics commissioned, by a public body engaged in policy formulation, to carry out research to inform the policy process. During the presentation of qualitative data to the public body, one representative exclaimed "it's not true!" The report was...

The major industrial control purpose is the reaching of the expected performances. In this sense, improvement processes are continuously carried out in order to define the right actions with regard to the objectives achievement. Thus, in order to better monitor the performance continuous...

Logistic regression (LR) continues to be one of the most widely used methods in data mining in general and binary data classification in particular. This paper is focused on providing an overview of the most important aspects of LR when used in data analysis, specifically from an algorithmic and...

We present new, tractable methods to impute missing values based on conditional probability density functions that we estimate via copula and mixture models. Our methods exploit known analytical results concerning conditional distributions for the Arellano-Valle and Bolfarine's generalised...

Several computational approaches try to help the researchers to establish the correspondence between pairs of proteins of multiple 2D gel images. In this work, an approach based on block-matching techniques is developed. Its main characteristic is that it does not need to perform the whole...

Recently, it has been proposed that team-based performance appraisal may promote knowledge sharing in the field of knowledge management. The proposal, however, is theoretically and practically doubtful. As a response, this paper explores how team-based performance appraisal impacts knowledge...

Recently, it has been proposed that team-based performance appraisal may promote knowledge sharing in the field of knowledge management. The proposal, however, is theoretically and practically doubtful. As a response, this paper explores how team-based performance appraisal impacts knowledge...

The purpose of this study was to segment mature travellers based on their motivations and to profile the similarities and differences between mature travel market segments according to their sociodemographic and travel-related characteristics. A total of 217 respondents (50 years old and above)...