In this paper we address the problem of unsupervised Web data extraction. We show that unsupervised Web data extraction becomes feasible when supposing pages that are made up of r...
Principle Component Analysis (PCA) technique is an important and well-developed area of image recognition and to date many linear discrimination methods have been put forward. Desp...
This paper proposes the compression of data in Relational Database Management Systems (RDBMS) using existing text compression algorithms. Although the technique proposed is general...
This paper introduces “micro-scalability” as a novel design objective for social reasoning architectures operating in open multiagent systems. Microscalability is based on the ...
In recent years, science education has been the focus of study and development of new gamebased learning environments. It has been argued that active and critical learning about r...