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Instance based learning and clustering are popular methods in propositional machine learning. Both methods use a notion of similarity between objects. This dissertation investigates these methods in a relational setting. First, a number of new metrics are proposed. Next, these metrics are used to...
This note discusses some aspects of the international offer of machine learning, data mining and decision support education, based on investigations of the materials available on the world-wide web. The aim of this investigation was to provide starting points for an analysis that could be used to...
In the last years, dozens of environments for modeling, testing and finally implementing multi-agent systems have been developed. Unfortunately, no standard criteria for understanding what kind of application profile a particular development environment is good for have been individuated yet, and...