ZHU Fu-bao, HUO Xiao-qi and XU Xian-jing. Improved ID3 decision tree algorithm based on rough set[J]. Journal of Light Industry, 2015, 30(1): 50-54. doi: 10.3969/j.issn.2095-476X.2015.01.011
Citation:
ZHU Fu-bao, HUO Xiao-qi and XU Xian-jing. Improved ID3 decision tree algorithm based on rough set[J]. Journal of Light Industry, 2015, 30(1): 50-54.
doi:
10.3969/j.issn.2095-476X.2015.01.011
Improved ID3 decision tree algorithm based on rough set
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College of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450001, China
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Received Date:
2014-04-01
Available Online:
2015-01-15
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Abstract
The traditional decision tree algorithms such as ID3 usually uses a single attribute as the basis of branching judgment.The scale of the tree generated by ID3 is very large and rules formed are difficult to understand.Aiming at the problems described above, an algorithm was proposed using multi-variable as the judging conditions of node attributes.By using the property of attribute dependency in rough set and choosing nuclear properties of condition attributes relative to decision attributes in the information system as multi-variable node attributes,the algorithm used the concept of relative generalization to aid the branching process and generated a multi-variable decision tree.Through the analysis of example and by comparing with the conventional ID3 algorithm, the high efficiency of the improved algorithm was verified.
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References
-
[1]
徐晓,翟敬梅,刘海涛.制造决策的知识融合粗糙集模型[J].华南理工大学学报:自然科学版,2011,39(8):36.
-
[2]
黄爱辉,陈湘涛.决策树ID3算法的改进[J].计算机工程与科学,2009,31(6):109.
-
[3]
朱颢东,钟勇.ID3算法的优化[J].华中科技大学学报:自然科学版,2010,38(5):9.
-
[4]
费洪晓,胡琳.一种粗糙集-决策树结合的入侵检测方法[J].计算机工程与应用,2012(22):124.
-
[5]
戴小廷,陈荣思,肖冰.基于信息熵的决策树挖掘算法在智能电力营销中的应用[J].郑州轻工业学院学报:自然科学版,2012,27(3):49.
-
[6]
苗夺谦,王珏.基于粗糙集的多变量决策树构造方法[J].软件学报,1997(6):425.
-
[7]
王飞,王卓,曾姚.基于变精度粗糙集的决策树构造改进算法[J].计算机与数字工程,2013(3):337.
-
[8]
翟俊海,翟梦尧,李胜杰.基于相容粗糙集技术的连续值属性决策树归纳[J].计算机科学,2012(11):183.
-
[9]
王永梅,胡学钢.决策树中ID3算法的研究[J].安徽大学学报:自然科学版,2011(3):71.
-
[10]
卢铮松.研究生奖学金的决策树分类数据挖掘研究[J].计算机工程与应用,2012(26):139.
-
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