Incremental decision tree

An incremental decision tree algorithm is an online machine learning algorithm that outputs a decision tree. Many decision tree methods, such as C4.5… (More)
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Topic mentions per year

1990-2018
0246819902018

Papers overview

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2013
2013
New application domains generate data which are not persistent anymore but volatile: network management, web profile modeling… (More)
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2013
2013
Hoeffding's bound (HB) has been widely used for node splitting in incremental decision tree algorithms. Many decision-tree… (More)
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2012
2012
Decision tree learning can be roughly classified into two categories: static and incremental inductions. Static tree induction… (More)
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2011
2011
  • Qingyun Chi
  • Proceedings of 2011 International Conference on…
  • 2011
For data analysis of increase rapidly customer behavior, Web log analysis, network intrusion detection systems and other online… (More)
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2011
2011
As we know, learning in real world is interactive, incremental and dynamical in multiple dimensions, where new data could be… (More)
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2010
2010
The pool-based active learning intends to collect the samples into the pool firstly, and selects the best informative sample from… (More)
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2009
2009
Decision tree is one kind of inductive learning algorithms that offers an efficient and practical method for generalizing… (More)
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Highly Cited
2006
Highly Cited
2006
Recent decision-theoric planning algorithms are able to find optimal solutions in large problems, using Factored Markov Decision… (More)
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2006
2006
Incremental checkpointing, which is intended to minimize checkpointing overhead, saves only the modified pages of a process. This… (More)
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2004
2004
This paper describes a frequency table-based decision tree algorithm for embedded applications. The table contains a compact… (More)
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