The aim of this study is to understand the suffering of a patient with an illness, by using a secondary research method, that is, a qualitative meta-study. The primary data source of the meta-study includes “biographical reports”. This project is…

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 paper presents a case study illustrating a collaborative problem solving process in Virtual Communities of Practice. The process relies on the existence of an underlying shared knowledge base – a repository of resources, and is carried out collaboratively by…

There is a lot of information published on the Web that can be useful for decision-making.
The work reported in this paper focuses on how to extract and integrate this information in order to construct a Data Warehouse that makes…

Se presentan los datos de recolecta de cuatro nuevos registros de arañas para el estado de Guanajuato: Argiope argentata (Fabricius 1775), Castianeira dorsata (Banks 1898), C. plorans (O.P.Cambridge 1898) y Selenops gracilis Muma 1953. Adicionalmente, se proporcionan algunos datos de…

The application of ANNs (Artifi cial Neural Networks) has been studied by many researchers in modelling rainfall runoff processes. However, the work so far has been focused on the rainfall data from traditional raingauges. Weather radar is a modern technology…

El crecimiento continuo de la Internet ha permitido a las personas, alrededor de todo mundo, realizar transacciones en línea, buscar información o navegar usando el explorador de la Web. A medida que más gente se siente cómoda usando los exploradores…

The genetic algorithms have seen applied in knowledge discovery and specially for discovering association rules. In this paper, we explore the use of di erent rule quality measures in the tness function in a genetic algorithm for discovering association rules.…

Manipulating and retrieving multimedia data has received increasing attention with the advent of cloud storage facilities. The ability of querying by similarity over large data collections is mandatory to improve storage and user interfaces. But, all of them are expensive…

Clustering of short texts is an important research area because of its applicability in information retrieval and text mining. To this end was proposed CLUDIPSO, a discrete Particle Swarm Optimization algorithm to cluster short texts. Initial results showed that CLUDIPSO…