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» Detection of emerging space-time clusters
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CIKM
2011
Springer
12 years 5 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...
ICPR
2008
IEEE
14 years 6 months ago
Growing neural gas for temporal clustering
Conventional clustering techniques provide a static snapshot of each vector's commitment to every group. With additive datasets, however, existing methods may not be sufficie...
Isaac J. Sledge, James M. Keller
CCGRID
2005
IEEE
13 years 10 months ago
Instant attack stopper in InfiniBand architecture
With the growing popularity of cluster architectures in datacenters and the sophistication of computer attacks, the design of highly secure clusters has recently emerged as a crit...
Manhee Lee, Mazin S. Yousif
CANDC
2006
ACM
13 years 5 months ago
Identification of functional modules in a PPI network by clique percolation clustering
Large-scale experiments and data integration have provided the opportunity to systematically analyze and comprehensively understand the topology of biological networks and biochem...
Shi-Hua Zhang, Xue-Mei Ning, Xiang-Sun Zhang
KDD
2008
ACM
232views Data Mining» more  KDD 2008»
14 years 5 months ago
Anticipating annotations and emerging trends in biomedical literature
The BioJournalMonitor is a decision support system for the analysis of trends and topics in the biomedical literature. Its main goal is to identify potential diagnostic and therap...
Bernd Wachmann, Dmitriy Fradkin, Fabian Mörch...