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https://doi.org/10.1109/emeit....

Article . 2011 . Peer-reviewed

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Research on incremental decision tree algorithm

Name: Research on incremental decision tree algorithm
Creator: Chi Qingyun

descriptionPublicationkeyboard_double_arrow_right Article 01 Aug 2011Publisher:IEEEJournal:Proceedings of 2011 International Conference on Electronic & Mechanical Engineering and Information Technology

Authors: Chi Qingyun;

doi: 10.1109/emeit.2011.6022930

Research on incremental decision tree algorithm

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Abstract

For data analysis of increase rapidly customer behavior, Web log analysis, network intrusion detection systems and other online classification system, how to quickly adapt to new samples is the key to ensure proper classification and sustainable operation. This paper presents a new adaptation data incremental decision tree algorithm, which combines RAINFOREST structure. It combines with the traditional SPRINT decision tree algorithm, and uses new samples quickly train a new decision tree based on the original decision tree. The improved algorithm deal with new samples at any time to produce a decision tree related, and the tree has been optimized with real-time.

Related Organizations

Zaozhuang University
China (People's Republic of)

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