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» Algorithms for Clustering Data
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GCB
2003
Springer
105views Biometrics» more  GCB 2003»
15 years 11 months ago
In silico prediction of UTR repeats using clustered EST data
Clustering of EST data is a method for the non-redundant representation of an organisms transcriptome. During clustering of large amounts of EST data, usually some large clusters ...
Stefan A. Rensing, Daniel Lang, Ralf Reski
JCDL
2006
ACM
152views Education» more  JCDL 2006»
16 years 7 days ago
Also by the same author: AKTiveAuthor, a citation graph approach to name disambiguation
The desire for definitive data and the semantic web drive for inference over heterogeneous data sources requires co-reference resolution to be performed on those data. In particul...
Duncan M. McRae-Spencer, Nigel R. Shadbolt
HPDC
2002
IEEE
15 years 11 months ago
Multigrain Parallelism for Eigenvalue Computations on Networks of Clusters
Clusters of workstations have become a cost-effective means of performing scientific computations. However, large network latencies, resource sharing, and heterogeneity found in ...
James R. McCombs, Andreas Stathopoulos
ECIR
2008
Springer
15 years 7 months ago
Clustering Template Based Web Documents
More and more documents on the World Wide Web are based on templates. On a technical level this causes those documents to have a quite similar source code and DOM tree structure. G...
Thomas Gottron
KDD
2009
ACM
239views Data Mining» more  KDD 2009»
16 years 6 months ago
Applying syntactic similarity algorithms for enterprise information management
: ? Applying Syntactic Similarity Algorithms for Enterprise Information Management Ludmila Cherkasova, Kave Eshghi, Charles B. Morrey III, Joseph Tucek, Alistair Veitch HP Laborato...
Ludmila Cherkasova, Kave Eshghi, Charles B. Morrey...