The mobile medical information system investigated in the study is developed for mobilizing medical information and knowledge and for matching physicians' multiple needs, inc...
Shengnan Han, Ville Harkke, Pekka Mustonen, Matti ...
Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surpris...
In this paper we describe why we believe that the development of Augmented Reality user interfaces requires special attention and cannot be efficiently handled with neither existi...
Multi-valued dependencies (MVDs) are an important class of constraints that is fundamental for relational database design. Although modern applications increasingly require the su...
Tag handling accounts for a substantial amount of execution cost in latently typed languages such as Common LISP and Scheme, especially on architectures that provide no special ha...