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Mostrando ítems 11-20 de 57
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
Searching for rules to detect defective modules: A subgroup discovery approach
(Elsevier, 2012)
Data mining methods in software engineering are becoming increasingly important as they can support several aspects of the software development life-cycle such as quality. In this work, we present a data mining approach ...
Artículo
Knowledge-Based Fast Evaluation for Evolutionary Learning
(IEEE, 2005)
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, such as evolutionary ...
Capítulo de Libro
Empirical Evaluation of the Difficulty of Finding a Good Value of k for the Nearest Neighbor
(2003)
As an analysis of the classification accuracy bound for the Nearest Neighbor technique, in this work we have studied if it is possible to find a good value of the parmeter k for each example according to their attribute ...
Capítulo de Libro
Clustering Main Concepts from e-Mails
(2003)
E–mail is one of the most common ways to communicate, assuming, in some cases, up to 75% of a company’s communication, in which every employee spends about 90 minutes a day in e–mail tasks such as filing and deleting. This ...
Capítulo de Libro
Mining Low Dimensionality Data Streams of Continuous Attributes
(2003)
This paper presents an incremental and scalable learning algorithm in order to mine numeric, low dimensionality, high–cardinality, time–changing data streams. Within the Supervised Learning field, our approach, named ...
Artículo
Energy Time Series Forecasting Based on Pattern Sequence Similarity
(IEEE, 2011)
This paper presents a new approach to forecast the behavior of time series based on similarity of pattern sequences. First, clustering techniques are used with the aim of grouping and labeling the samples from a data set. ...
Capítulo de Libro
Efficient Incremental-Ranked Feature Selection in Massive Data
(Chapman and Hall/CRC, 2007)
Capítulo de Libro
Statistical Test-Based Evolutionary Segmentation of Yeast Genome
(2004)
Segmentation algorithms emerge observing fluctuations of DNA sequences in alternative homogeneous domains, which are named segments [1]. The key idea is that two genes that are controlled by a single regulatory system ...
Tesis Doctoral
Mejoras en eficiencia y eficacia de algoritmos evolutivos para aprendizaje supervisado
(2004)
Los algoritmos evolutivos conforman una de las más importantes familias de modelos computacionales con aplicación en el campo del aprendizaje automático, cuya validez y efectividad han sido ampliamente estudiada en la ...