Abstract. The support vector machine is basically to deal with a two-class classification problem. To get M-class classifiers for face recognition, it is common to construct a set ...
New applications from the areas of analytical data processing and data integration require powerful features to condense and reconcile available data. As outlined in [1], the gene...
In data mining, searching for frequent patterns is a common basic operation. It forms the basis of many interesting decision support processes. In this paper we present a new type ...
This paper presents a case-study of automatic construction of a hypertext from a large full-text document. The document we used as input of the automatic authoring process is a we...
Ontology Summarization has been found useful to facilitate ontology engineering tasks in a number of different ways. Recently, it has been recognised as a means to facilitate ontol...