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GRSI focuses on the research and development of intelligent systems based on (1) extracting interesting patterns from moderate and large complex data (Data Mining) and (2) learning from them (Machine Learning) for helping experts by means of the building of decision support systems. In this framework, GRSI works on different stages of the process of data mining: pre-processing, characterization of data sets, analysis for a better understanding and improvement of machine learning techniques, methodologies to evaluate learners, and post-processing. During the last few years, the research has mainly focused on learning methods inspired by natural principles and analogy. The group is known for its expertise on Evolutionary Computation, Soft Case-Based Reasoning, and Neural Networks.