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» Cluster Analysis of High-Dimensional Data: A Case Study
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KDD
2006
ACM
185views Data Mining» more  KDD 2006»
14 years 8 months ago
Understanding Content Reuse on the Web: Static and Dynamic Analyses
Abstract. In this paper we present static and dynamic studies of duplicate and near-duplicate documents in the Web. The static and dynamic studies involve the analysis of similar c...
Ricardo A. Baeza-Yates, Álvaro R. Pereira J...
BMCBI
2008
135views more  BMCBI 2008»
13 years 7 months ago
Facilitating the development of controlled vocabularies for metabolomics technologies with text mining
Background: Many bioinformatics applications rely on controlled vocabularies or ontologies to consistently interpret and seamlessly integrate information scattered across public r...
Irena Spasic, Daniel Schober, Susanna-Assunta Sans...
BMCBI
2004
124views more  BMCBI 2004»
13 years 7 months ago
Tests for finding complex patterns of differential expression in cancers: towards individualized medicine
Background: Microarray studies in cancer compare expression levels between two or more sample groups on thousands of genes. Data analysis follows a population-level approach (e.g....
James Lyons-Weiler, Satish Patel, Michael J. Becic...
CVPR
2007
IEEE
14 years 9 months ago
Connecting the Out-of-Sample and Pre-Image Problems in Kernel Methods
Kernel methods have been widely studied in the field of pattern recognition. These methods implicitly map, "the kernel trick," the data into a space which is more approp...
Pablo Arias, Gregory Randall, Guillermo Sapiro
WWW
2004
ACM
14 years 8 months ago
Ontological representation of learning objects: building interoperable vocabulary and structures
The ontological representation of learning objects is a way to deal with the interoperability and reusability of learning objects (including metadata) through providing a semantic...
Jian Qin, Naybell Hernández