With ever increasing computing power, it is possible to process ever more complex fluid simulations. However, a gap between data set sizes and our ability to visualize them remain...
Tony McLoughlin, Robert S. Laramee, Ronald Peikert...
Educational data mining is an emerging discipline, concerned with developing methods for exploring the unique types of data that come from the educational context. This work is a ...
: Unit nonresponse and item nonresponse in sample surveys are a typical problem of nonresponse which can be handled by weighting adjustment and imputation methods, respectively. Th...
We present the current state of our STSLib project. This project aims at defining an environment to formally specify and execute software components. One important feature is that...
: Feature diagrams (FDs) are a family of popular modelling languages, mainly used for managing variability in software product lines. FDs were first introduced by Kang et al. as pa...
Patrick Heymans, Pierre-Yves Schobbens, Jean-Chris...