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SIGMOD
1998
ACM
99views Database» more  SIGMOD 1998»
14 years 3 months ago
CURE: An Efficient Clustering Algorithm for Large Databases
Clustering, in data mining, is useful for discovering groups and identifying interesting distributions in the underlying data. Traditional clustering algorithms either favor clust...
Sudipto Guha, Rajeev Rastogi, Kyuseok Shim
BMCBI
2010
155views more  BMCBI 2010»
13 years 11 months ago
FunctSNP: an R package to link SNPs to functional knowledge and dbAutoMaker: a suite of Perl scripts to build SNP databases
Background: Whole genome association studies using highly dense single nucleotide polymorphisms (SNPs) are a set of methods to identify DNA markers associated with variation in a ...
Stephen J. Goodswen, Cedric Gondro, Nathan S. Wats...
SAC
2010
ACM
13 years 9 months ago
The 'Dresden Image Database' for benchmarking digital image forensics
This paper introduces and documents a novel image database specifically built for the purpose of development and benchmarking of camera-based digital forensic techniques. More th...
Thomas Gloe, Rainer Böhme
NAR
2011
225views Computer Vision» more  NAR 2011»
13 years 1 months ago
Gramene database in 2010: updates and extensions
Now in its 10th year, the Gramene database (http:// www.gramene.org) has grown from its primary focus on rice, the first fully-sequenced grass genome, to become a resource for maj...
Ken Youens-Clark, Edward S. Buckler, Terry M. Cass...
ICSE
2008
IEEE-ACM
14 years 11 months ago
Impact analysis of database schema changes
We propose static program analysis techniques for identifying the impact of relational database schema changes upon object-oriented applications. We use dataflow analysis to extra...
Andy Maule, Wolfgang Emmerich, David S. Rosenblum