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PKDD
2005
Springer
122views Data Mining» more  PKDD 2005»
16 years 11 days ago
A Probabilistic Clustering-Projection Model for Discrete Data
For discrete co-occurrence data like documents and words, calculating optimal projections and clustering are two different but related tasks. The goal of projection is to find a ...
Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Krieg...
CCGRID
2003
IEEE
16 years 5 days ago
CARDs: Cluster-Aware Remote Disks
This paper presents Cluster-Aware Remote Disks (CARDs), a Single System I/O architecture for cluster computing. CARDs virtualize accesses to remote cluster disks over a System Are...
Vlad Olaru, Walter F. Tichy
ICPR
2002
IEEE
15 years 12 months ago
Feature Extraction Methods Applied to the Clustering of Electrocardiographic Signals. A Comparative Study
In this paper, a method to automatically extract the main information from a long-term electrocardiographic signal is presented. This method is based on techniques of pattern reco...
David Cuesta-Frau, Juan Carlos Pérez-Cortes...
APCSAC
2007
IEEE
15 years 11 months ago
Exploiting Task Temperature Profiling in Temperature-Aware Task Scheduling for Computational Clusters
Many years of CMOS technology scaling have resulted in increased power densities and higher core temperatures. Power and temperature concerns are now considered to be a primary cha...
Daniel C. Vanderster, Amirali Baniasadi, Nikitas J...
DEXA
2008
Springer
123views Database» more  DEXA 2008»
15 years 8 months ago
Evolutionary Clustering in Description Logics: Controlling Concept Formation and Drift in Ontologies
Abstract. We present a method based on clustering techniques to detect concept drift or novelty in a knowledge base expressed in Description Logics. The method exploits an effectiv...
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito