Software development is a complex and error-prone task. An important factor during the development of complex systems is the understanding of the dependencies that exist between d...
We introduce a new bias for rule learning systems. The bias only allows a rule learner to create a rule that predicts class membership if each test of the rule in isolation is pred...
We revisit 26 meta-features typically used in the context of meta-learning for model selection. Using visual analysis and computational complexity considerations, we find 4 meta-f...
In this paper, we discuss an application of spatial data mining to predict pedestrian flow in extensive road networks using a large biased sample. Existing out-of-the-box techniqu...
The automatic identification of a user's task has the potential to improve information filtering systems that rely on implicit measures of interest and whose effectiveness ma...