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» Developing an Open Architecture for Performance Data Mining
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KDD
2009
ACM
224views Data Mining» more  KDD 2009»
14 years 3 months ago
Issues in evaluation of stream learning algorithms
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
João Gama, Raquel Sebastião, Pedro P...
WWW
2010
ACM
14 years 5 months ago
Distributing private data in challenged network environments
Developing countries face significant challenges in network access, making even simple network tasks unpleasant. Many standard techniques—caching and predictive prefetching— ...
Azarias Reda, Brian D. Noble, Yidnekachew Haile
SENSYS
2006
ACM
14 years 4 months ago
Data compression algorithms for energy-constrained devices in delay tolerant networks
Sensor networks are fundamentally constrained by the difficulty and energy expense of delivering information from sensors to sink. Our work has focused on garnering additional si...
Christopher M. Sadler, Margaret Martonosi
BMCBI
2006
140views more  BMCBI 2006»
13 years 10 months ago
SNP-PHAGE - High throughput SNP discovery pipeline
Background: Single nucleotide polymorphisms (SNPs) as defined here are single base sequence changes or short insertion/deletions between or within individuals of a given species. ...
Lakshmi K. Matukumalli, John J. Grefenstette, Davi...
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
14 years 5 months ago
Towards clustering with XCS
This paper presents a novel approach to clustering using an accuracy-based Learning Classifier System. Our approach achieves this by exploiting the generalization mechanisms inher...
Kreangsak Tamee, Larry Bull, Ouen Pinngern