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» Evaluation of clustering algorithms for gene expression data
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KDD
2002
ACM
196views Data Mining» more  KDD 2002»
16 years 6 months ago
Comparing Two Recommender Algorithms with the Help of Recommendations by Peers
Abstract. Since more and more Web sites, especially sites of retailers, offer automatic recommendation services using Web usage mining, evaluation of recommender algorithms has bec...
Andreas Geyer-Schulz, Michael Hahsler
CCGRID
2009
IEEE
16 years 1 months ago
BLAST Application with Data-Aware Desktop Grid Middleware
—There exists numerous Grid middleware to develop and execute programs on the computational Grid, but they still require intensive work from their users. BitDew is made to facili...
Haiwu He, Gilles Fedak, Bing Tang, Franck Cappello
BIODATAMINING
2008
140views more  BIODATAMINING 2008»
15 years 6 months ago
Modeling gene-by-environment interaction in comorbid depression with alcohol use disorders via an integrated bioinformatics appr
Background: Comorbidity of Major Depressive Disorder (depression) and Alcohol Use Disorders (AUD) is well documented. Depression, AUD, and the comorbidity of depression with AUD s...
Richard C. McEachin, Benjamin J. Keller, Erika F. ...
WSDM
2009
ACM
172views Data Mining» more  WSDM 2009»
16 years 1 months ago
Clustering the tagged web
Automatically clustering web pages into semantic groups promises improved search and browsing on the web. In this paper, we demonstrate how user-generated tags from largescale soc...
Daniel Ramage, Paul Heymann, Christopher D. Mannin...
AAIM
2007
Springer
118views Algorithms» more  AAIM 2007»
15 years 10 months ago
Significance-Driven Graph Clustering
Abstract. Modularity, the recently defined quality measure for clusterings, has attained instant popularity in the fields of social and natural sciences. We revisit the rationale b...
Marco Gaertler, Robert Görke, Dorothea Wagner