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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 ...