The sparse data is becoming increasingly common and available in many real-life applications. However, relative little attention has been paid to effectively model the sparse data ...
Mining sequential patterns in large databases is an important research topic. The main challenge of mining sequential patterns is the high processing cost due to the large amount ...
We present an algorithm for mining tree-shaped patterns in a large graph. Novel about our class of patterns is that they can contain constants, and can contain existential nodes w...
An approach for mining repositories of web-based user documentation for patterns of evolutionary change in the context of internationalization and localization is presented. Sets ...
The 20 workflow patterns proposed by Van der Aalst et al. provide a comprehensive benchmark for comparing control flow aspects of process modelling languages. In this paper, we p...