Abstract. Feature selection is an important task in data mining because it allows to reduce the data dimensionality and eliminates the noisy variables. Traditionally, feature selec...
Abstract. While extensive e orts have been devoted to the development of e cient ad-hoc algorithms for association rules mining, little or no interest has been paid to the integrat...
Elena Baralis, Stefano Ceri, Rosa Meo, Giuseppe Ps...
Abstract. The Self-Organising Map (SOM) is a well-known neuralnetwork model that has successfully been used as a data analysis tool in many different domains. The SOM provides a to...
Abstract-- The paper details a scheme for lossless compression of short data series larger than 50 Bytes. The method uses arithmetic coding and context modeling with a low-complexi...
Abstract. In the paper we deal with the problem of modeling and querying information in schemaless databases of partially labeled objects (PLO-DB). Partially labeled objects are us...