We describe an efficient technique to weigh word-based features in binary classification tasks and show that it significantly improves classification accuracy on a range of proble...
Justin Martineau, Tim Finin, Anupam Joshi, Shamit ...
Time is an important data dimension with distinct characteristics that is common across many application domains. This demands specialized methods in order to support proper analy...
Wolfgang Aigner, Alessio Bertone, Silvia Miksch, C...
The educational content of a technical topic consists, ultimately, of elementary chunks of knowledge. Identifying and classifying such units -- Testable, Reusable Units of Cogniti...
Through web service technology, distributed applications can be built in a exible manner, bringing tremendous power to applications on the web. However, this exibility poses sig...
Spatial data mining is a process used to discover interesting but not explicitly available, highly usable patterns embedded in both spatial and nonspatial data, which are possibly ...