Abstract. Today, event logs contain vast amounts of data that can easily overwhelm a human. Therefore, the mining of frequent patterns from event logs is an important system and ne...
Abstract. In the context of mining frequent itemsets, numerous strategies have been proposed to push several types of constraints within the most well known algorithms. In this pap...
Abstract. We consider three paradigms of computation where the bene ts of a parallel solution are greater than usual. Paradigm 1 works on a time-varying input data set, whose size ...
Abstract. This paper proposes a framework for transforming and integrating heterogeneous XML data sources, making use of known correspondences from them to ontologies expressed in ...
Abstract. In this paper, we present a fast algorithm to answer rangesum queries in OLAP data cubes. Our algorithm supports constanttime queries while maintaining sub-linear time up...