The concept of older adults contributing to society in a meaningful way has been termed `active ageing'. We present applications of data mining techniques on the active agein...
We propose an unsupervised approach to learn associations between continuous-valued attributes from different modalities. These associations are used to construct a multi-modal t...
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 ...
Cost-sensitive decision tree and cost-sensitive naïve Bayes are both new cost-sensitive learning models proposed recently to minimize the total cost of test and misclassifications...
—Several performance analysis tools support hybrid applications. Most originated as MPI profiling or tracing tools and OpenMP capabilities were added to extend the performance a...