Abstract. Decision-theoretic rough set models are a probabilistic extension of the algebraic rough set model. The required parameters for defining probabilistic lower and upper ap...
In this paper a new process modelling method especially for public administrations is presented. With established generic process modelling methods reorganisation projects in this ...
Business Process Modeling (BPM) is one of the key factors in defining service-oriented solutions for business collaborations. Like in traditional software engineering there is a n...
Word space models, in the sense of vector space models built on distributional data taken from texts, are used to model semantic relations between words. We argue that the high dim...
This paper develops a general, formal framework for modeling term dependencies via Markov random fields. The model allows for arbitrary text features to be incorporated as eviden...