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BMCBI
2007
177views more  BMCBI 2007»
13 years 9 months ago
The BioPrompt-box: an ontology-based clustering tool for searching in biological databases
Background: High-throughput molecular biology provides new data at an incredible rate, so that the increase in the size of biological databanks is enormous and very rapid. This sc...
Claudio Corsi, Paolo Ferragina, Roberto Marangoni
ECML
2006
Springer
13 years 10 months ago
Cascade Evaluation of Clustering Algorithms
Abstract. This paper is about the evaluation of the results of clustering algorithms, and the comparison of such algorithms. We propose a new method based on the enrichment of a se...
Laurent Candillier, Isabelle Tellier, Fabien Torre...
KDD
2002
ACM
293views Data Mining» more  KDD 2002»
14 years 9 months ago
Automatic Categorization of Web Pages and User Clustering with Mixtures of Hidden Markov Models
We propose mixtures of hidden Markov models for modelling clickstreams of web surfers. Hence, the page categorization is learned from the data without the need for a (possibly cumb...
Alexander Ypma, Tom Heskes
CCGRID
2010
IEEE
13 years 10 months ago
Designing Accelerator-Based Distributed Systems for High Performance
Abstract--Multi-core processors with accelerators are becoming commodity components for high-performance computing at scale. While accelerator-based processors have been studied in...
M. Mustafa Rafique, Ali Raza Butt, Dimitrios S. Ni...
ICPP
2008
IEEE
14 years 3 months ago
On Clustering Tasks in IC-Optimal Dags
Strategies are developed for “fattening” the tasks of computation-dags so as to accommodate the heterogeneity of remote clients in Internet-based computing (IC). Earlier work ...
Mark Sims, Gennaro Cordasco, Arnold L. Rosenberg