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Cited by 6
An Efficient and Sensitive Decision Tree Approach to Mining Concept-Drifting Data Streams

2016 World Conference on Futuristic Trends in Research and Innovation for Social Welfare (Startup Conclave)
Jyoti Wagde, Prarthana A. Deshkar
https://doi.org/10.1109/STARTUP.2016.7583969
Conference:  (2016), p. 1
2010 IEEE International Conference on Data Mining Workshops
Hanady M. Abdulsalam, Layla K. Kamel
https://doi.org/10.1109/ICDMW.2010.28
Conference:  (2010), p. 1
Intelligence for the Personal Web
Marie Matheson, Patrick Martin, Jimmy Lo, Joanna Ng, Daisy Tan, Brian Thomson
https://doi.org/10.1007/978-3-642-39995-4_6
Book:  Lecture Notes in Computer Science (The Personal Web) Volume 7855 (2013), p. 113
Classification Using Streaming Random Forests
Hanady Abdulsalam, David B. Skillicorn, Patrick Martin
https://doi.org/10.1109/TKDE.2010.36
Journal:  IEEE Transactions on Knowledge and Data Engineering Volume 23, Issue 1 (2011), p. 22
Data stream classification with artificial endocrine system
Li Zhao, Lei Wang, Qingzheng Xu
https://doi.org/10.1007/s10489-011-0334-8
Journal:  Applied Intelligence Volume 37, Issue 3 (2012), p. 390
Online adaptive decision trees based on concentration inequalities
Isvani Frías-Blanco, José del Campo-Ávila, Gonzalo Ramos-Jiménez, Andre C.P.L.F. Carvalho, Agustín Ortiz-Díaz, Rafael Morales-Bueno
https://doi.org/10.1016/j.knosys.2016.04.019
Journal:  Knowledge-Based Systems Volume 104 (2016), p. 179


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