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AAI
2007
132views more  AAI 2007»
15 years 6 months ago
Incremental Extraction of Association Rules in Applicative Domains
In recent years, the KDD process has been advocated to be an iterative and interactive process. It is seldom the case that a user is able to answer immediately with a single query...
Arianna Gallo, Roberto Esposito, Rosa Meo, Marco B...
ADHOC
2007
139views more  ADHOC 2007»
15 years 6 months ago
Bounded-distance multi-clusterhead formation in wireless ad hoc networks
We present a clustering technique addressing redundancy for bounded-distance clusters, which means being able to determine the minimum number of cluster-heads per node, and the ma...
Marco Aurélio Spohn, J. J. Garcia-Luna-Acev...
AI
2010
Springer
15 years 6 months ago
Understanding the scalability of Bayesian network inference using clique tree growth curves
Bayesian networks (BNs) are used to represent and ef ciently compute with multi-variate probability distributions in a wide range of disciplines. One of the main approaches to per...
Ole J. Mengshoel
ALMOB
2008
112views more  ALMOB 2008»
15 years 6 months ago
Metabolite-based clustering and visualization of mass spectrometry data using one-dimensional self-organizing maps
Background: One of the goals of global metabolomic analysis is to identify metabolic markers that are hidden within a large background of data originating from high-throughput ana...
Peter Meinicke, Thomas Lingner, Alexander Kaever, ...
ALMOB
2008
160views more  ALMOB 2008»
15 years 6 months ago
Syntenator: Multiple gene order alignments with a gene-specific scoring function
Background: Identification of homologous regions or conserved syntenies across genomes is one crucial step in comparative genomics. This task is usually performed by genome alignm...
Christian Rödelsperger, Christoph Dieterich
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