Numerical Taxonomy aims to group in clusters, using so-called structure analysis of operational taxonomic units (OTUs or taxons or taxa) through numerical methods.
These clusters constitute families. Structural analysis, based on their phenotypic characteristics, exhibits the relationships, in terms of…

The Standardization of a development process for systems of medium complexity, entirely supported by an integrated development environment, could mean a double contribution to the industry of systems development. On the one hand it would contribute to the reduction of…

Sharing of behavior is one of the most important features in the Object-Oriented paradigm. The two classical organisations of sharing are classes and prototypes, raising two different models and two families of object oriented languages. It has been largely discussed…

Similarity search is a fundamental operation for applications that deal with unstructured data sources. In this paper we propose a new pivot-based method for similarity search, called Sparse Spatial Selection (SSS).
The main characteristic of this method is that it…

Hybrid dynamic spatial approximation trees are recently proposed data structures for searching in metric spaces, based on combining the concepts of spatial approximation and pivot based algorithms. These data structures are hybrid schemes, with the full features of dynamic spatial…

When there is a need to understand the data stored in a database, one of the main requirements is being able to extract knowledge in the form of rules. Classification strategies allow extracting rules almost naturally. In this paper, the…