Clustering is an essential data mining task with various types of applications. Traditional clustering algorithms are based on a vector space model representation. A relational dat...
We present the rational construction of a generic domain for structural information analysis of real CLP languages called Pattern(D ), where the parameter D is an abstract domain s...
Roberto Bagnara, Patricia M. Hill, Enea Zaffanella
We introduce a general framework for reasoning with prioritized propositional data by aggregation of distance functions. Our formalism is based on a possible world semantics, wher...
Distributed information systems are critical to the functioning of many businesses; designing them to be dependable is a challenging but important task. We report our experience i...
Jeremy Bryans, John S. Fitzgerald, Alexander Roman...
Information is becoming pervasive in the contemporary society, and is increasingly saturating the visual senses and the cognitive efforts of the lay masses. As our attention for v...