中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Segment Based Decision Tree Induction With Continuous Valued Attributes

文献类型:期刊论文

作者Wang Ran; Kwong Sam; Wang XiZhao; Jiang Qingshan
刊名IEEE TRANSACTIONS ON CYBERNETICS
出版日期2015
英文摘要A key issue in decision tree (DT) induction with continuous valued attributes is to design an effective strategy for splitting nodes. The traditional approach to solving this problem is adopting the candidate cut point (CCP) with the highest discriminative ability, which is evaluated by some frequency based heuristic measures. However, such methods ignore the class permutation of examples in the node, and they cannot distinguish the CCPs with the same or similar frequency information, thus may fail to induce a better and smaller tree. In this paper, a new concept, i. e., segment of examples, is proposed to differentiate the CCPs with same frequency information. Then, a new hybrid scheme that combines the two heuristic measures, i. e., frequency and segment, is developed for splitting DT nodes. The relationship between frequency and the expected number of segments, which is regarded as a random variable, is also given. Experimental comparisons demonstrate that the proposed scheme is not only effective to improve the generalization capability, but also valid to reduce the size of the tree.
收录类别SCI
原文出处http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6912950
语种英语
源URL[http://ir.siat.ac.cn:8080/handle/172644/6902]  
专题深圳先进技术研究院_数字所
作者单位IEEE TRANSACTIONS ON CYBERNETICS
推荐引用方式
GB/T 7714
Wang Ran,Kwong Sam,Wang XiZhao,et al. Segment Based Decision Tree Induction With Continuous Valued Attributes[J]. IEEE TRANSACTIONS ON CYBERNETICS,2015.
APA Wang Ran,Kwong Sam,Wang XiZhao,&Jiang Qingshan.(2015).Segment Based Decision Tree Induction With Continuous Valued Attributes.IEEE TRANSACTIONS ON CYBERNETICS.
MLA Wang Ran,et al."Segment Based Decision Tree Induction With Continuous Valued Attributes".IEEE TRANSACTIONS ON CYBERNETICS (2015).

入库方式: OAI收割

来源:深圳先进技术研究院

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