A fundamental assumption for any machine learning task is to have training and test data instances drawn from the same distribution while having a sufficiently large number of tra...
An approach to instructional design is described which avoids some of the problems traditionally associated with process design models, sometimes referred to as waterfall models. ...
In this paper, we evaluate the performance of ten well-known evolutionary and non-evolutionary rule learning algorithms. The comparative study is performed on a real-world classi...
M. Zubair Shafiq, S. Momina Tabish, Muddassar Faro...
Skyline queries help users make intelligent decisions over complex data, where different and often conflicting criteria are considered. A challenging problem is to support skylin...
Mobile infrastructure consists of one or more sensors in a fixed configuration on a mobile platform. By moving the mobile platform in the environment and attaching a set of stat...