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ADMA
2010
Springer
271views Data Mining» more  ADMA 2010»
13 years 2 months ago
Exploiting Concept Clumping for Efficient Incremental E-Mail Categorization
We introduce a novel approach to incremental e-mail categorization based on identifying and exploiting "clumps" of messages that are classified similarly. Clumping reflec...
Alfred Krzywicki, Wayne Wobcke
CORR
2010
Springer
163views Education» more  CORR 2010»
13 years 2 months ago
Toward a Push-Scalable Global Internet
Push message delivery, where a client maintains an "always-on" connection with a server in order to be notified of a (asynchronous) message arrival in real-time, is incre...
Sachin Agarwal
IJRR
2010
173views more  IJRR 2010»
13 years 2 months ago
Multi-modal Semantic Place Classification
The ability to represent knowledge about space and its position therein is crucial for a mobile robot. To this end, topological and semantic descriptions are gaining popularity fo...
Andrzej Pronobis, Óscar Martínez Moz...
SAC
2010
ACM
13 years 2 months ago
A study on interestingness measures for associative classifiers
Associative classification is a rule-based approach to classify data relying on association rule mining by discovering associations between a set of features and a class label. Su...
Mojdeh Jalali Heravi, Osmar R. Zaïane
TMI
2010
206views more  TMI 2010»
13 years 2 months ago
Random Subspace Ensembles for fMRI Classification
Classification of brain images obtained through functional magnetic resonance imaging (fMRI) poses a serious challenge to pattern recognition and machine learning due to the extrem...
Ludmila I. Kuncheva, Juan José Rodrí...