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Capítulo de Libro
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NLC: A Measure Based on Projections
(2003)
In this paper, we propose a new feature selection criterion. It is based on the projections of data set elements onto each attribute. The main advantages are its speed and simplicity in the evaluation of the attributes. ...
Artículo
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Connecting Segments for Visual Data Exploration and Interactive Mining of Decision Rules
(Graz University of Technology, Institut für Informationssysteme und Computer Medien, 2005)
Visualization has become an essential support throughout the KDD process in order to extract hidden information from huge amount of data. Visual data exploration techniques provide the user with graphic views or metaphors ...
Ponencia
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An Overlapping Control–Biclustering Algorithm from Gene Expression Data
(IEEE Computer Society, 2009)
In this paper a hybrid metaheuristic for biclustering based on Scatter Search and Genetic Algorithms is pre sented. A general scheme of Scatter Search has been used to obtain high–quality biclusters, but a way of ...
Ponencia
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Inferring gene coexpression networks with Biclustering based on Scatter Search
(IEEE Computer Society, 2011)
The identification of regulatory modules is one of the most important tasks in order to discover disease markers. This paper presents a methodology to infer coexpression networks based on local patterns in gene expression ...
Capítulo de Libro
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Wrapper for Ranking Feature Selection
(2004)
We propose a new feature selection criterion not based on calculated measures between attributes, or complex and costly distance calculations. Applying a wrapper to the output of a new attribute ranking method, we obtain ...
Ponencia
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Biclustering of Gene Expression Data Based on SimUI Semantic Similarity Measure
(Springer, 2016)
Biclustering is an unsupervised machine learning technique that simultaneously clusters genes and conditions in gene expression data. Gene Ontology (GO) is usually used in this context to validate the biological relevance ...
Ponencia
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Feature selection based on bootstrapping
(IEEE Computer Society, 2005)
The results of feature selection methods have a great influence on the success of data mining processes, especially when the data sets have high dimensionality. In order to find the optimal result from feature selection ...
Tesis Doctoral
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Biclustering sobre datos de expresión génica basado en búsqueda dispersa
(2015-07-21)
Los datos de expresión génica, y su particular naturaleza e importancia, motivan no sólo el desarrollo de nuevas técnicas sino la formulación de nuevos problemas como el problema del biclustering. El biclustering es ...
Capítulo de Libro
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Non-parametric Nearest Neighbor with Local Adaptation
(2001)
The k-Nearest Neighbor algorithm (k-NN) uses a classification criterion that depends on the parameter k. Usually, the value of this parameter must be determined by the user. In this paper we present an algorithm based on ...
Capítulo de Libro
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Prototype-based mining of numeric data streams
(2003)
Great organizations collect open-ended and time-changing data received at a high speed. The possibility of extracting useful knowledge from these potentially infinite databases is a new challenge in Data Mining. In this ...