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On applications of rough sets theory to knowledge discovery
Knowledge Discovery in Databases (KDD) is the nontrivial extraction of implicit, previously unknown and potentially useful information from data. Data preprocessing is a step of the KDD process that reduces the complexity ...
Métodos para mejorar la calidad de un conjunto de datos para descubrir conocimiento
Today, data generation is growing exponentially in both directions; instances (rows) and features (columns). This causes that many datasets can not be analyzed without preprocessing. The large size of the dataset to be ...
Evaluación de métodos de imputación para datos de expresión genética
The technology of microarrays introduced in the middle of the nineties allow the analysis of the gene expression levels of thousands of genes simultaneously. The identification of genes with an expression level very different ...
Unsupervised classification of text documents
The automatic extraction of knowledge from very large document collections is becoming an important issue in order to exploit the increasing available information stored in text form. A significant aspect of this extraction ...