In this paper we propose the Local Credibility Concept (LCC), a novel technique for incremental classifiers. It measures the classification rate of the classifier’s local mod...
We present a novel randomized approach to the graph isomorphism problem. Our algorithm aims at solving difficult instances by producing randomized certificates for non-isomorphis...
Query personalization was introduced as an advanced mechanism to allow the reformulation of database queries and adapt them to the user's domain of interest and preferences. ...
In this work, we present a conceptual framework for deriving executable business process models from high-level, graphical business process models based on the paradigm of Service-...
Business intelligence requires the collecting and merging of information from many different sources, both structured and unstructured, in order to analyse for example financial ...