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DTI - Ponencias, comunicaciones y pósteres
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Recent Submissions
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Applying data mining to software development projects : a case study
Mata Vázquez, Jacinto
; Álvarez Macías, José Luis; Riquelme Santos, José Cristóbal; Ramos, Isabel (ScitePress, 2004)
One of the main challenges that the project managers have during the building process of a software development project (SDP) is to optimise the values of the parameters that measure the viability of the final process. The ... -
Practical application of kdd techniques to an industrial process
Pachón Álvarez, Victoria; Mata Vázquez, Jacinto; Roche Beltrán, Francisco; Riquelme Santos, José Cristóbal; Tejera, José María (ScitePress, 2004)
In the process of smelting copper mineral a large amount of sulphuric dioxide (SO2) is produced. This compound would be highly pollutant if it was emitted to the atmosphere. By means of an acid plant it is possible to ... -
A Rule-based Method Applied to the Imbalanced Classification of Radiation Toxicity
Domínguez Olmedo, Juan Luis; Mata Vázquez, Jacinto; Pachón Álvarez, Victoria; López Guerra, José L. (Science and Technology Publications, 2018)
This paper describes a rule-based classifier (DEQAR-C), which is set up by the combination of selected rules after a two-phase process. In the first phase, the rules are generated and sorted for each class, and then a ... -
Rule extraction from medical data without discretization of numerical attributes
Domínguez Olmedo, Juan Luis; Mata Vázquez, Jacinto; Pachón Álvarez, Victoria; Maña López, Manuel Jesús (Science and Technology Publications, 2012)
Association rule mining is a popular technique used to find associations between attributes in a dataset. When using deterministic algorithms, if the attributes have numerical values the usual approach is to discretize ... -
An analysis of biomedical tokenization : problems and strategies
Choosing the right tokenizer is a non-trivial task, especially in the biomedical domain, where it poses additional challenges, which if not resolved means the propagation of errors in successive Natural Language Processing ... -
Rule base and inference system cooperative learning of mamdani fuzzy systems with multiobjective genetic algorithms
Márquez Hernández, Antonio Ángel; Márquez Hernández, Francisco Alfredo; Peregrín Rubio, Antonio (European Society of Fuzzy Logic and Technology, 2009)
In this paper, we present an evolutionary multiobjective learning model achieving positive synergy between the Inference System and the Rule Base in order to obtain simpler, more compact and still accurate linguistic ...
