Discovering different types of file resources (such as documentation, programs, and images) in the vast amount of data contained within network file systems is useful for both u...
Usually, in traditional text categorization systems based on Vector Space Model, there is no context information in a feature vector, which limited the performance of the system. T...
A crucial issue for Machine Learning and Data Mining is Feature Selection, selecting the relevant features in order to focus the learning search. A relaxed setting for Feature Sele...
The Semantic Web, also known as the Web of meaning, is considered the new generation of the Web. Its objective is to enable computers and people to work in cooperation. A requisit...
The semantics of constraint logic programming languages with coroutining facilities (\freeze," suspension, residuation, etc.) cannot be fully declarative; thus, an operationa...