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PKDD
2007
Springer
95views Data Mining» more  PKDD 2007»
15 years 6 months ago
Pruning Relations for Substructure Discovery of Multi-relational Databases
Multirelational data mining methods discover patterns across multiple interlinked tables (relations) in a relational database. In many large organizations, such a multi-relational ...
Hongyu Guo, Herna L. Viktor, Eric Paquet
ICDM
2006
IEEE
138views Data Mining» more  ICDM 2006»
15 years 5 months ago
Adaptive Blocking: Learning to Scale Up Record Linkage
Many information integration tasks require computing similarity between pairs of objects. Pairwise similarity computations are particularly important in record linkage systems, as...
Mikhail Bilenko, Beena Kamath, Raymond J. Mooney
ICDM
2006
IEEE
76views Data Mining» more  ICDM 2006»
15 years 5 months ago
A Probabilistic Ensemble Pruning Algorithm
An ensemble is a group of learners that work together as a committee to solve a problem. However, the existing ensemble training algorithms sometimes generate unnecessary large en...
Huanhuan Chen, Peter Tiño, Xin Yao
ICDM
2005
IEEE
143views Data Mining» more  ICDM 2005»
15 years 5 months ago
A Computational Framework for Taxonomic Research: Diagnosing Body Shape within Fish Species Complexes
It is estimated that ninety percent of the world’s species have yet to be discovered and described. The main reason for the slow pace of new species description is that the scie...
Yixin Chen, Henry L. Bart Jr., Shuqing Huang, Huim...
ICDM
2005
IEEE
139views Data Mining» more  ICDM 2005»
15 years 5 months ago
Stability of Feature Selection Algorithms
With the proliferation of extremely high-dimensional data, feature selection algorithms have become indispensable components of the learning process. Strangely, despite extensive ...
Alexandros Kalousis, Julien Prados, Melanie Hilari...