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MLDM
2005
Springer
13 years 11 months ago
Supervised Evaluation of Dataset Partitions: Advantages and Practice
In the context of large databases, data preparation takes a greater importance : instances and explanatory attributes have to be carefully selected. In supervised learning, instanc...
Sylvain Ferrandiz, Marc Boullé
ICDE
2010
IEEE
399views Database» more  ICDE 2010»
14 years 19 days ago
Discovery-driven graph summarization
Abstract— Large graph datasets are ubiquitous in many domains, including social networking and biology. Graph summarization techniques are crucial in such domains as they can ass...
Ning Zhang, Yuanyuan Tian, Jignesh M. Patel
ADC
2010
Springer
204views Database» more  ADC 2010»
13 years 24 days ago
Systematic clustering method for l-diversity model
Nowadays privacy becomes a major concern and many research efforts have been dedicated to the development of privacy protecting technology. Anonymization techniques provide an eff...
Md. Enamul Kabir, Hua Wang, Elisa Bertino, Yunxian...
DATAMINE
1999
143views more  DATAMINE 1999»
13 years 5 months ago
Partitioning Nominal Attributes in Decision Trees
To find the optimal branching of a nominal attribute at a node in an L-ary decision tree, one is often forced to search over all possible L-ary partitions for the one that yields t...
Don Coppersmith, Se June Hong, Jonathan R. M. Hosk...
BMCBI
2006
152views more  BMCBI 2006»
13 years 5 months ago
Predicting deleterious nsSNPs: an analysis of sequence and structural attributes
Background: There has been an explosion in the number of single nucleotide polymorphisms (SNPs) within public databases. In this study we focused on non-synonymous protein coding ...
Richard J. B. Dobson, Patricia B. Munroe, Mark J. ...