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SDM
2007
SIAM
198views Data Mining» more  SDM 2007»
13 years 6 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
SIGKDD
2010
135views more  SIGKDD 2010»
12 years 11 months ago
Novel data stream pattern mining report on the StreamKDD'10 workshop
This report summarizes the First International Workshop on Novel Data Stream Pattern Mining held at the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mi...
Margaret H. Dunham, Michael Hahsler, Myra Spiliopo...
KDD
2001
ACM
177views Data Mining» more  KDD 2001»
14 years 5 months ago
Mining time-changing data streams
Geoff Hulten, Laurie Spencer, Pedro Domingos
KDD
2007
ACM
136views Data Mining» more  KDD 2007»
14 years 5 months ago
On string classification in data streams
Charu C. Aggarwal, Philip S. Yu
KDD
2003
ACM
175views Data Mining» more  KDD 2003»
14 years 5 months ago
Correlating synchronous and asynchronous data streams
Sudipto Guha, Dimitrios Gunopulos, Nick Koudas