We present a boosting genetic algorithm for classification rule discovery. The method is
based on the iterative rule learning approach to genetic classifiers. The boosting mechanism …

In this paper we present a new method for the application of data mining tools on the
management phase of software development process. Specifically, we describe two tools …

In this paper, we present a strategy to induce knowledge as support decision making in
Software Development Projects (SDP). The motive of this work is to reduce the great quantity …

Software Engineering is about the development of quality software. Quality of software is a
multi-faceted concept and software engineering researchers have sought to develop …

In this paper, we have analyzed the behaviour of a renewable source of energy by means of
analysis of its performance. We have a system of data acquisition to measure variable and to …

The application of data mining techniques to the managing of software development projects
(SDP) is not an uncommon phenomenon, as in any other productive process that generates …

La aplicación de técnicas de minería de datos a la gestión de Proyectos de Desarrollo
Software (PDS) no es un fenómeno extraño, como en cualquier otro proceso productivo que …

In this paper we propose a new crossover operator for real coded evolutionary algorithms
that is based on a parabolic probability density function. This density function depends on …

The application of data mining techniques to the managing of software development projects
(SDP) is not an uncommon phenomenon, as in any other productive process that generates …