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ADMA
2010
Springer
271views Data Mining» more  ADMA 2010»
14 years 9 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
146
Voted
CORR
2010
Springer
163views Education» more  CORR 2010»
14 years 9 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»
14 years 9 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
14 years 9 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»
14 years 9 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...