One of the most important operations involving Data Mining patterns is computing their similarity. In this paper we present a general framework for comparing both simple and comple...
Ilaria Bartolini, Paolo Ciaccia, Irene Ntoutsi, Ma...
Abstract: In this demonstration we introduce a technology to support knowledge structuring processes already at the time of their creation by building up concept structures in real...
Attribute noise can affect classification learning. Previous work in handling attribute noise has focused on those predictable attributes that can be predicted by the class and o...
In this paper we propose a novel spatial associative classifier method based on a multi-relational approach that takes spatial relations into account. Classification is driven by s...
The problem of discovering frequent subgraphs of graph data can be solved by constructing a candidate set of subgraphs first, and then, identifying within this candidate set those...