Selecting a set of good and diverse base classifiers is essential for building multiple classifier systems. However, almost all commonly used procedures for selecting such base cla...
In this paper, we studied the semantic consistency maintenance issue between heterogeneous contexts, that is, how a firm business process of one e-marketplace can be transformed t...
Image clustering is useful in many retrieval and classification applications. The main goal of image clustering is to partition a given dataset into salient clusters such that the...
We address the problem of efficient end-to-end network monitoring of path metrics in communication networks. Our goal is to minimize the number of measurements or monitors requir...
The purpose of this paper is to build a picture of knowledge construction models in online education. The study describes the knowledge construction process of a group of vocation...