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Mostrando ítems 11-20 de 24
Ponencia
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Searching for Rules to find Defective Modules in Unbalanced Data Sets
(IEEE Xplore, 2009-05)
The characterisation of defective modules in software engineering remains a challenge. In this work, we use data mining techniques to search for rules that indicate modules with a high probability of being defective. Using ...
Capítulo de Libro
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Fast Feature Selection by Means of Projections
(2003)
The attribute selection techniques for supervised learning, used in the preprocessing phase to emphasize the most relevant attributes, allow making models of classification simpler and easy to understand. The algorithm ...
Artículo
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Merging subsets of attributes to improve a hybrid consistency-based filter: a case of study in product unit neural networks
(Taylor and Francis, 2016)
This paper presents a quality enhancement of the selected features by a hybrid filter-based jointly on feature ranking and feature subset selection (FR-FSS) using a consistency-based measure via merging new features which ...
Ponencia
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SMOTE-I: mejora del algoritmo SMOTE para balanceo de clases minoritarias
(Sociedad de Ingeniería de Software y Tecnologías de Desarrollo de Software (SISTEDES), 2009)
Las técnicas de minería de datos están encaminadas a desarrollar algoritmos que sean capaces de tratar y analizar datos de forma automática con objeto de extraer de cualquier tipo de información subyacente en dichos ...
Artículo
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Projection-based measure for efficient feature selection
(IOS Press, 2002-12-01)
The attribute selection techniques for supervised learning, used in the preprocessing phase to emphasize the most relevant attributes, allow making models of classification simpler and easy to understand. Depending on the ...
Artículo
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Finding Defective Software Modules by Means of Data Mining Techniques
(IEEE, 2009-07)
The characterization of defective modules in software engineering remains a challenge. In this work, we use data mining techniques to search for rules that indicate modules with a high probability of being defective. ...
Ponencia
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Knowledge representation and applied decision making (KREAM)
(ScienceDirect, 2010-05)
The aim of this workshop is to provide a forum for discussion and debate on the application of knowledge representation and ontologies in computational science and the techniques used for the manipulation of such data. ...
Capítulo de Libro
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Separation Surfaces through Genetic Programming
(2001)
The aim of this paper is to describe a study for the obtaining, symbolically, of the separation surfaces between clusters of a labelled database. A separation surface is an equation with the form ø; (x)=0, where ø is a ...
Ponencia
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Finding Defective Modules from Highly Unbalanced Datasets
(Sociedad de Ingeniería de Software y Tecnologías de Desarrollo de Software (SISTEDES), 2008-10)
Many software engineering datasets are highly unbalanced, i.e., the number of instances of a one class outnumber the number of instances of the other class. In this work, we analyse two balancing techniques with two common ...
Capítulo de Libro
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Heuristic Search over a Ranking for Feature Selection
(2005)
In this work, we suggest a new feature selection technique that lets us use the wrapper approach for finding a well suited feature set for distinguishing experiment classes in high dimensional data sets. Our method is based ...