Adaptive Learning from Evolving Data Streams
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[1] Ricard Gavaldà,et al. Mining adaptively frequent closed unlabeled rooted trees in data streams , 2008, KDD.
[2] William Nick Street,et al. A streaming ensemble algorithm (SEA) for large-scale classification , 2001, KDD '01.
[3] Geoff Hulten,et al. Mining time-changing data streams , 2001, KDD '01.
[4] Albert Carles Bifet Figuerol,et al. Adaptive parameter-free learning from evolving data streams , 2009 .
[5] Luís Torgo,et al. Knowledge Discovery in Databases: PKDD 2005, 9th European Conference on Principles and Practice of Knowledge Discovery in Databases, Porto, Portugal, October 3-7, 2005, Proceedings , 2005, PKDD.
[6] Geoff Hulten,et al. Mining high-speed data streams , 2000, KDD '00.
[7] Alexey Tsymbal,et al. The problem of concept drift: definitions and related work , 2004 .
[8] Piotr Indyk,et al. Maintaining Stream Statistics over Sliding Windows , 2002, SIAM J. Comput..
[9] Ricard Gavaldà,et al. Kalman Filters and Adaptive Windows for Learning in Data Streams , 2006, Discovery Science.
[10] Ricard Gavaldà,et al. Learning from Time-Changing Data with Adaptive Windowing , 2007, SDM.
[11] Geoff Holmes,et al. Stress-Testing Hoeffding Trees , 2005, PKDD.