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» Discovering Classification from Data of Multiple Sources
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EUROGP
2007
Springer
161views Optimization» more  EUROGP 2007»
14 years 1 months ago
Mining Distributed Evolving Data Streams Using Fractal GP Ensembles
A Genetic Programming based boosting ensemble method for the classification of distributed streaming data is proposed. The approach handles flows of data coming from multiple loc...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...
SIGMOD
2005
ACM
115views Database» more  SIGMOD 2005»
14 years 7 months ago
Enterprise information integration: successes, challenges and controversies
The goal of EII Systems is to provide uniform access to multiple data sources without having to first loading them into a data warehouse. Since the late 1990's, several EII p...
Alon Y. Halevy, Naveen Ashish, Dina Bitton, Michae...
CINQ
2004
Springer
225views Database» more  CINQ 2004»
14 years 1 months ago
A Data Mining Query Language for Knowledge Discovery in a Geographical Information System
Spatial data mining is a process used to discover interesting but not explicitly available, highly usable patterns embedded in both spatial and nonspatial data, which are possibly ...
Donato Malerba, Annalisa Appice, Michelangelo Ceci
KDD
2007
ACM
190views Data Mining» more  KDD 2007»
14 years 8 months ago
Model-shared subspace boosting for multi-label classification
Typical approaches to multi-label classification problem require learning an independent classifier for every label from all the examples and features. This can become a computati...
Rong Yan, Jelena Tesic, John R. Smith
NSDI
2007
13 years 10 months ago
Exploiting Similarity for Multi-Source Downloads Using File Handprints
Many contemporary approaches for speeding up large file transfers attempt to download chunks of a data object from multiple sources. Systems such as BitTorrent quickly locate sou...
Himabindu Pucha, David G. Andersen, Michael Kamins...