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Mostrando ítems 11-20 de 95
Capítulo de Libro
SOAP: Efficient Feature Selection of Numeric Attributes
(2002)
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
Incremental Rule Learning and Border Examples Selection from Numerical Data Streams
(Graz University of Technology, Institut für Informationssysteme und Computer Medie, 2005)
Mining data streams is a challenging task that requires online systems based on incremental learning approaches. This paper describes a classification system based on decision rules that may store up–to–date border ...
Ponencia
A Tool to Obtain a Hierarchical Qualitative Rules from Quantitative Data
(Springer, 2005)
A tool to obtain a classifier system from labelled databases is presented. The result is a hierarchical set of rules to divide the space in n-orthohedrons. This hierarchy means that obtained rules must be applied in ...
Artículo
Analysis of environmental thresholds for runoff and erosion through qualitative reasoning methods
(WITPress, 2001)
Qualitative reasoning methods have proven useful to extract qualitative information from quantitative data in a wide variety of applications. In this work, we analysed a 30 months record of runoff and sediment yield from ...
Ponencia
Best Agglomerative Ranked Subset for Feature Selection
(2008-09)
The enormous increase of the size in databases makes finding an optimal subset of features extremely difficult. In this paper, a new feature selection method is proposed that will allow any subset evaluator -including the ...
Capítulo de Libro
Partitioning-Clustering Techniques Applied to the Electricity Price Time Series
(2007)
Clustering is used to generate groupings of data from a large dataset, with the intention of representing the behavior of a system as accurately as possible. In this sense, clustering is applied in this work to extract ...
Capítulo de Libro
OBLIC: Classification System Using Evolutionary Algorithm
(2001)
We present a new classification system based on Evolutionary Algorithm (EA), OBLIC. This tool is an OBLIque Classification system whose function is to induce a set of classification rules no hierarchical from a database ...
Capítulo de Libro
An efficient data structure for decision rules discovery
(2003)
The increasing amount of information available is encouraging the search for efficient techniques to improve the data mining methods, especially those which consume great computational resources. We present a novel structure, ...
Capítulo de Libro
Analysis of Feature Rankings for Classification
(2005)
Different ways of contrast generated rankings by feature selection algorithms are presented in this paper, showing several possible interpretations, depending on the given approach to each study. We begin from the premise ...
Artículo
Minería de Datos: Conceptos y Tendencias
(IBERAMIA : Sociedad Iberoamericana de Inteligencia Artificial, 2006)
Hoy en día, la minería de datos (MD) está consiguiendo cada vez más captar la atención de las empresas. Todavía es infrecuente oír frases como “deberíamos segmentar a nuestros clientes utilizando herramientas de MD”, “la ...