common features in all learning objects only. The In this paper, we propose two methods of clustering learning images to generate prototypes automatically for object recognition. O...
Many data mining techniques are these days in use for ontology learning – text mining, Web mining, graph mining, link analysis, relational data mining, and so on. In the current ...
XRL (eXchangeable Routing Language) is an instancebased workflow language that uses XML for the representation of process definitions and Petri nets for its semantics. Since XRL i...
Wil M. P. van der Aalst, H. M. W. Verbeek, A. Kuma...
Abstract Relational rule learning algorithms are typically designed to construct classification and prediction rules. However, relational rule learning can be adapted also to subgr...
We present an algorithm for detecting and modeling rhythmic temporal patterns from the record of an individual's computer activity, or online "presence." The model ...