Although Virtual Learning Environments have become popular educational tools, they remain a very active research topic. Two important aspects being discussed for next-generation V...
Data mining techniques and machine learning methods are commonly used in several disciplines. It is possible that they could also provide a basis for quality assessment of softwar...
One of the most important challenges in supervised learning is how to evaluate the quality of the models evolved by different machine learning techniques. Up to now, we have relied...
Technology Supported Learning Systems have proved to be useful in many learning situations. However, the development of such systems is still a hard task. Ontologies and Learning ...
This paper examines motivations of knowledge workers to contribute expertise to online knowledge repositories that support informal learning, and presents findings from both a sur...
Abstract. This paper presents a system that connects students with complementary profiles, so they can interchange knowledge and help each other. The profile of the students is bui...
In an open innovation environment, organizational learning takes place by means of dispersed teams which expand their knowledge through collaborative idea generation. Research is o...
Rory L. L. Sie, Marlies Bitter-Rijpkema, Peter B. ...
Abstract—In network intrusion detection research, one popular strategy for finding attacks is monitoring a network’s activity for anomalies: deviations from profiles of norma...
We use Wikipedia articles to semantically inform the generation of query models. To this end, we apply supervised machine learning to automatically link queries to Wikipedia artic...