Francesca Possemato

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In this paper we propose a classifier for generalized sequences that is conceived in the granular computing framework. The classification system processes the input sequences of objects by means of a suited interplay among dissimilarity and clustering based techniques. The core data mining engine retrieves information granules that are used to represent the(More)
Power losses reduction is one of the main targets for any electrical energy distribution company. In this paper, we face the problem of joint optimization of both topology and network parameters in a real smart grid. We consider a portion of the Italian electric distribution network managed by the ACEA Distribuzione S.p.A. located in Rome. We perform both(More)
Text categorization is an interesting application of machine learning covering a wide range of possible applications, from document management systems to web mining. In designing such a system it is mandatory to correctly define both a suited preprocessing procedure and an effective document representation as closely related as possible to the semantic(More)
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