In this research we introduce the problem of the binary matrix partitioning in a biological context. Our idea is to use SNP matrix to construct a set of phylogenetic networks to r...
We present an approach to learning the personal preferences of individual users directly from example images. The target application is computer assisted search of partners in onl...
With the growing importance of time series clustering research, particularly for similarity searches amongst long time series such as those arising in medicine or finance, it is cr...
Abstract. Portal Catalogs is a popular means of searching for information on the Web. They provide querying and browsing capabilities on data organized in a hierarchy, on a categor...
Eleni G. Christodoulou, Theodore Dalamagas, Timos ...
In this paper, we propose a new approach to automatically clustering e-commerce search engines (ESEs) on the Web such that ESEs in the same cluster sell similar products. This all...