What exactly does conceptual analysis consist in? Is it empirical or a priori? How support philosophical theses? and kinds of thesis are these? There is no consensus on these questions in contemporary philosophy. This study aims to defend by showing that comprises number different methods explaining their importance After setting out an initial dilemma for analysis, the outlines minimal ecumeni...

This paper provides an accessible overview of the various approaches to concept analysis in order provide a field for discussion what ontological theorizing might entail. The article advances notion concepts as “basic” and sets out parameters by which they acquire meaning, followed three that address multifaceted nature basic between different contexts. With help conceptual analysis, researcher...

A key issue in learning from observations is to build a classification of given objects or situations. Conceptual clustering methods address this problem of recognizing regularities among as set of objects that have not been pre-classified, so as to organize them into a hierarchy of concepts. Early approaches have been limited to unstructured domains, in which objects are described by fixed set...

Text mining is defined as knowledge discovery in large text collections. It detects interesting patterns such as clusters, associations, deviations, similarities, and differences in sets of texts. Current text mining methods use simplistic representations of text contents, such as keyword vectors, which imply serious limitations on the kind and meaningfulness of possible discoveries. We show ho...

One of the problems with existing clustering methods is that the interpretation of clusters may be difficult. Two different approaches have been used to solve this problem: conceptual clustering in machine learning and clustering visualization in statistics and graphics. The purpose of this paper is to investigate the benefits of combining clustering visualization and conceptual clustering to o...