Discriminative subgraphs are widely used to define the feature space for graph classification in large graph databases. Several scalable approaches have been proposed to mine disc...
To date, most association rule mining algorithms have assumed that the domains of items are either discrete or, in a limited number of cases, hierarchical, categorical or linear. ...
Abstract. Since the systematic evolution of graph-like program models has become important in software engineering, graph transformation has gained much attention in this area. For...
Frank Drewes, Berthold Hoffmann, Dirk Janssens, Ma...
Association rules discovery is a fundamental task in spatial data mining where data are naturally described at multiple levels of granularity. ARES is a spatial data mining system ...
In this paper, we visit the problem of the management of inconsistencies emerging on ETL processes as results of evolution operations g at their sources. We abstract Extract-Transf...
George Papastefanatos, Panos Vassiliadis, Alkis Si...