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» Set cover algorithms for very large datasets
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JIIS
2010
106views more  JIIS 2010»
13 years 3 months ago
A new classification of datasets for frequent itemsets
The discovery of frequent patterns is a famous problem in data mining. While plenty of algorithms have been proposed during the last decade, only a few contributions have tried to ...
Frédéric Flouvat, Fabien De Marchi, ...
CLOR
2006
14 years 5 days ago
Dataset Issues in Object Recognition
Appropriate datasets are required at all stages of object recognition research, including learning visual models of object and scene categories, detecting and localizing instances ...
Jean Ponce, Tamara L. Berg, Mark Everingham, David...
SDM
2009
SIAM
176views Data Mining» more  SDM 2009»
14 years 5 months ago
Discovery of Geospatial Discriminating Patterns from Remote Sensing Datasets.
Large amounts of remotely sensed data calls for data mining techniques to fully utilize their rich information content. In this paper, we study new means of discovery and summariz...
Wei Ding 0003, Tomasz F. Stepinski, Josue Salazar
KDD
2001
ACM
216views Data Mining» more  KDD 2001»
14 years 8 months ago
The distributed boosting algorithm
In this paper, we propose a general framework for distributed boosting intended for efficient integrating specialized classifiers learned over very large and distributed homogeneo...
Aleksandar Lazarevic, Zoran Obradovic
GECCO
2006
Springer
122views Optimization» more  GECCO 2006»
14 years 3 days ago
Genetic algorithms are suitable for driving microbial ecosystems in desirable directions
The behavior of natural, biological ecosystems is for a large part determined by environmental conditions. It should therefore be possible to experimentally manipulate such condit...
Frederik P. J. Vandecasteele, Thomas F. Hess, Rona...