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» An overview of clustering methods
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DKE
2008
79views more  DKE 2008»
15 years 16 days ago
Extracting k most important groups from data efficiently
We study an important data analysis operator, which extracts the k most important groups from data (i.e., the k groups with the highest aggregate values). In a data warehousing co...
Man Lung Yiu, Nikos Mamoulis, Vagelis Hristidis
75
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BMCBI
2006
92views more  BMCBI 2006»
15 years 15 days ago
Similarity-based gene detection: using COGs to find evolutionarily-conserved ORFs
Background: Experimental verification of gene products has not kept pace with the rapid growth of microbial sequence information. However, existing annotations of gene locations c...
Bradford C. Powell, Clyde A. Hutchison III
BMCBI
2006
155views more  BMCBI 2006»
15 years 15 days ago
AffyMiner: mining differentially expressed genes and biological knowledge in GeneChip microarray data
Background: DNA microarrays are a powerful tool for monitoring the expression of tens of thousands of genes simultaneously. With the advance of microarray technology, the challeng...
Guoqing Lu, The V. Nguyen, Yuannan Xia, Michael Fr...
92
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BMCBI
2006
97views more  BMCBI 2006»
15 years 15 days ago
REEF: searching REgionally Enriched Features in genomes
Background: In Eukaryotic genomes, different features including genes are not uniformly distributed. The integration of annotation information and genomic position of functional D...
Alessandro Coppe, Gian Antonio Danieli, Stefania B...
CN
2006
163views more  CN 2006»
15 years 15 days ago
A framework for mining evolving trends in Web data streams using dynamic learning and retrospective validation
The expanding and dynamic nature of the Web poses enormous challenges to most data mining techniques that try to extract patterns from Web data, such as Web usage and Web content....
Olfa Nasraoui, Carlos Rojas, Cesar Cardona