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PAKDD
2010
ACM
212views Data Mining» more  PAKDD 2010»
14 years 2 months ago
Fast Perceptron Decision Tree Learning from Evolving Data Streams
Abstract. Mining of data streams must balance three evaluation dimensions: accuracy, time and memory. Excellent accuracy on data streams has been obtained with Naive Bayes Hoeffdi...
Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer...
SAC
2005
ACM
14 years 3 months ago
Learning decision trees from dynamic data streams
: This paper presents a system for induction of forest of functional trees from data streams able to detect concept drift. The Ultra Fast Forest of Trees (UFFT) is an incremental a...
João Gama, Pedro Medas, Pedro Pereira Rodri...
SAC
2005
ACM
14 years 3 months ago
Incremental rule learning based on example nearness from numerical data streams
Francisco J. Ferrer-Troyano, Jesús S. Aguil...
IDA
2009
Springer
13 years 7 months ago
Adaptive Learning from Evolving Data Streams
Albert Bifet, Ricard Gavaldà
SDM
2007
SIAM
198views Data Mining» more  SDM 2007»
13 years 11 months ago
Learning from Time-Changing Data with Adaptive Windowing
We present a new approach for dealing with distribution change and concept drift when learning from data sequences that may vary with time. We use sliding windows whose size, inst...
Albert Bifet, Ricard Gavaldà