A Data Mining Method to Support Decision Making in Software Development Projects (2007)
J. Mata, J. C. Riquelme, I. Ramos
Abstract: 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 of SDP do...
Mining interesting regions using an evolutionary algorithm (2002)
J. L. Alvarez, J. Mata, J. C. Riquelme
In this paper, we oer a new method to induce interesting knowledge from the relevant sets of data in databases for supervised learning. Thus, in this work, ELLIPSES is presented as a new method...
Improving the Evolutionary Coding for Machine Learning Tasks (2002)
Jesús S. Aguilar–ruiz, C. Del Valle, J.C. Riquelme
The most influential factors in the quality of the solutions found by an evolutionary algorithm are a correct coding of the search space and an appropriate evaluation function of the potential...
Discovering Numeric Association Rules via Evolutionary Algorithm (2002)
J Mata, JL Álvarez, J.C. Riquelme, Jacinto Mata, José-luis Alvarez, José-cristobal Riquelme
Association rules are one of the most used tools to discover relationships among attributes in a database. Nowadays, there are many e#cient techniques to obtain these rules, although most of them...
Discretization Oriented to Decision Rules Generation (2002)
Many of the supervised learning algorithms only work with spaces of discrete attributes. Some of the methods proposed in the bibliography focus on the discretization towards the generation of...
An Evolutionary Algorithm to Discover Numeric Association Rules (2002)
J. Mata, J.L. Alvarez, J.C. Riquelme
Association rules are one of the most used tools to discover relationships among attributes in a database. Nowadays, there are many e#cient techniques to obtain these rules, although most of them...
Improvements In The Decision Making In Software Projects (2001)
I. Ramos, I. Ramos Romn, J. Aroba, J.C. Riquelme, J. Aroba Pez
The Simulators of Software Development Projects based on dynamic models have supposed a significant advance in front of the traditional techniques of estimate. These simulators enable to know the...
A Tool to Obtain a Hierarchical Qualitative Rules from Quantitative Data (1998)
Jesús Aguilar, J.C. Riquelme, M. Toro
A tool to obtain a classifier system from labelled databases is presented.