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RECOMB
2002
Springer
16 years 14 hour ago
Probabilistic hierarchical clustering for biological data
Biological data, such as gene expression profiles or protein sequences, is often organized in a hierarchy of classes, where the instances assigned to "nearby" classes in...
Eran Segal, Daphne Koller
BMCBI
2008
115views more  BMCBI 2008»
14 years 11 months ago
Genome-scale cluster analysis of replicated microarrays using shrinkage correlation coefficient
Background: Currently, clustering with some form of correlation coefficient as the gene similarity metric has become a popular method for profiling genomic data. The Pearson corre...
Jianchao Yao, Chunqi Chang, Mari L. Salmi, Yeung S...
CIKM
2011
Springer
13 years 11 months ago
Emerging topic detection using dictionary learning
Streaming user-generated content in the form of blogs, microblogs, forums, and multimedia sharing sites, provides a rich source of data from which invaluable information and insig...
Shiva Prasad Kasiviswanathan, Prem Melville, Arind...
176
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SIGMOD
2008
ACM
116views Database» more  SIGMOD 2008»
15 years 12 months ago
SPADE: the system s declarative stream processing engine
In this paper, we present Spade - the System S declarative stream processing engine. System S is a large-scale, distributed data stream processing middleware under development at ...
Bugra Gedik, Henrique Andrade, Kun-Lung Wu, Philip...
SIGMOD
2011
ACM
210views Database» more  SIGMOD 2011»
14 years 2 months ago
A platform for scalable one-pass analytics using MapReduce
Today’s one-pass analytics applications tend to be data-intensive in nature and require the ability to process high volumes of data efficiently. MapReduce is a popular programm...
Boduo Li, Edward Mazur, Yanlei Diao, Andrew McGreg...