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…

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…

The structured techniques for systems analysis and design are still the most widely known. One of the alternatives of this technique is the JAD methodology (Joint Application Design). This methodology is an improvement with respect to the existing ones -…

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…

Most of the current hypermedia model life cycles focus in analysis and design issues, ignoring crucial tasks and activities of hypermedia projects. Others do not take care of basic Software Engineering concepts such as planning, physical and logical modeling, validation…

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…

Most search methods in metric spaces assume that the topology of the object collection is reasonably regular. However, there exist nested metric spaces, where objects in the collection can be grouped into clusters or subspaces, in such a way that…

This paper focuses on prediction and prevention of seismic risk through a system for decision making. Data Warehousing and OLAP operations are applied, together with, data mining tools like association rules, decision trees and clustering to predict aspects such as…