Framework comprehension is a very limiting factor to take full advantage of the benefits that frameworks offer to increase quality and productivity in software development. In this paper, a reverse engineering approach to framework comprehension using the MetaExplorer tool is…

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…

Instituto de Investigaciones Sociales,UNAM

Los resultados obtenidos mediante el Análisis Canónico en 32
muestras poblacionales pertenecientes a 24 taxones, que corresponden
a 14 grupos de Bechyné (1948), proporcionan pruebas acerca del
estado taxonómico y evolutivo en múltiples taxones de Timarcha. Los
datos biométricos se…

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…