Improving the predictive performance of online decision trees

[1]  Richard Brendon Kirkby,et al.  Improving Hoeffding Trees , 2007 .

[2]  João Gama,et al.  Forest trees for on-line data , 2004, SAC '04.

[3]  Geoff Hulten,et al.  Mining high-speed data streams , 2000, KDD '00.

[4]  Geoff Holmes,et al.  Leveraging Bagging for Evolving Data Streams , 2010, ECML/PKDD.

[5]  João Gama,et al.  A survey on concept drift adaptation , 2014, ACM Comput. Surv..

[6]  Stuart J. Russell,et al.  Online bagging and boosting , 2005, 2005 IEEE International Conference on Systems, Man and Cybernetics.

[7]  Mohamed Medhat Gaber,et al.  Learning from Data Streams: Processing Techniques in Sensor Networks , 2007 .

[8]  Geoff Holmes,et al.  MOA: Massive Online Analysis , 2010, J. Mach. Learn. Res..

[9]  Geoff Hulten,et al.  Mining time-changing data streams , 2001, KDD '01.

[10]  André Carlos Ponce de Leon Ferreira de Carvalho,et al.  Online adaptive decision trees based on concentration inequalities , 2016, Knowl. Based Syst..