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SDM
2009
SIAM
219views Data Mining» more  SDM 2009»
14 years 3 months ago
A Hybrid Data Mining Metaheuristic for the p-Median Problem.
Metaheuristics represent an important class of techniques to solve, approximately, hard combinatorial optimization problems for which the use of exact methods is impractical. In t...
Alexandre Plastino, Erick R. Fonseca, Richard Fuch...
ICMLA
2008
13 years 8 months ago
Distributed Optimization Strategies for Mining on Peer-to-Peer Networks
Peer-to-peer (P2P) networks are distributed systems in which nodes of equal roles and capabilities exchange information and services directly with each other. In recent years, the...
Haimonti Dutta, Ananda Matthur
GECCO
2006
Springer
165views Optimization» more  GECCO 2006»
13 years 10 months ago
Multiobjective genetic rule selection as a data mining postprocessing procedure
In this paper, we show the usefulness of multiobjective genetic rule selection as a postprocessing procedure in data mining for pattern classification problems. First we extract a...
Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima
SAC
2004
ACM
14 years 4 days ago
Statistical properties of transactional databases
Most of the complexity of common data mining tasks is due to the unknown amount of information contained in the data being mined. The more patterns and correlations are contained ...
Paolo Palmerini, Salvatore Orlando, Raffaele Pereg...
ICDM
2007
IEEE
131views Data Mining» more  ICDM 2007»
13 years 10 months ago
Predicting and Optimizing Classifier Utility with the Power Law
When data collection is costly and/or takes a significant amount of time, an early prediction of the classifier performance is extremely important for the design of the data minin...
Mark Last