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Improving the Accuracy of Incremental Decision Tree Learning Algorithm via Loss Function Conference paper
Hang Yang, Simon Fong. Improving the Accuracy of Incremental Decision Tree Learning Algorithm via Loss Function[C]:IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2013, 910-916.
Authors:  Hang Yang;  Simon Fong
Favorite | TC[WOS]:3 TC[Scopus]:8 | Submit date：2019/02/13
Hoeffding Tree  Data Stream Mining  Decision Tree Classification  
An experimental comparison of decision trees in traditional data mining and data stream mining Conference paper
Yang Hang, Simon Fong. An experimental comparison of decision trees in traditional data mining and data stream mining[C], 2011, 442-447.
Authors:  Yang Hang;  Simon Fong
Favorite |  | Submit date：2019/02/13
Data Stream Mining  Java Simulator  Hoeffding Tree Algorithm  Decision Tree  Noise Data  
Stream mining over fluctuating network traffic at variable data rates Conference paper
Yang Hang, Simon Fong. Stream mining over fluctuating network traffic at variable data rates[C], 2011, 436-441.
Authors:  Yang Hang;  Simon Fong
Favorite |  | Submit date：2019/02/13
Component  Stream Mining  Real Time Application  Hoeffding Tree Algorithm  Real Time Constraint  Internet Traffic  
Evaluating hoeffding tree algorithm in real-time web applications environment Conference paper
Yang, Hang, Fong, Simon. Evaluating hoeffding tree algorithm in real-time web applications environment[C], 2010.
Authors:  Yang, Hang;  Fong, Simon
Favorite |  | Submit date：2019/07/25
Stream Mining  Hoeffding Tree Algorithm  Real-time Constraints  Real-time Business Intelligence  
Investigating the impact of bursty traffic on Hoeffding Tree Algorithm in stream mining over internet Conference paper
Yang Hang, Simon Fong. Investigating the impact of bursty traffic on Hoeffding Tree Algorithm in stream mining over internet[C], 2010, 147-152.
Authors:  Yang Hang;  Simon Fong
Favorite | TC[Scopus]:7 | Submit date：2019/02/13
Stream Mining  Hoeffding Tree Algorithm  Bursty Stream  Real-time Application