This paper proposes a new distance metric between clusterings that incorporates information about the spatial distribution of points and clusters. Our approach builds on the idea ...
Parasaran Raman, Jeff M. Phillips, Suresh Venkatas...
Proponents of utility-based scheduling policies have shown the potential for a 100–1400% increase in value-delivered to users when used in lieu of traditional approaches such as...
Abstract. Data mining in large databases of complex objects from scientific, engineering or multimedia applications is getting more and more important. In many areas, complex dista...
Stefan Brecheisen, Hans-Peter Kriegel, Martin Pfei...
In this paper, we describe an innovative tool that supports the design and evaluation of the information architecture of a Web site. The tool uses Latent Semantic Analysis and hie...
Christos Katsanos, Nikolaos K. Tselios, Nikolaos M...
In this paper we introduce a new approach to controlling error in hierarchical clustering algorithms for radiosity. The new method ensures that just enough work is done to meet th...