| 一种基于连续属性离散化的知识分类方法 |
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| 引用本文： | 孙英慧,孙英娟,蒲东兵,姜艳.一种基于连续属性离散化的知识分类方法[J].东北师大学报(自然科学版),2012(1):45-49. |
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| 作者姓名： | 孙英慧 孙英娟 蒲东兵 姜艳 |
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| 作者单位： | 吉林师范大学计算机学院;长春师范学院计算机科学与技术学院;东北师范大学计算机科学与信息技术学院 |
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| 基金项目： | 国家自然科学基金资助项目(60673099,60873146);吉林省科技发展计划项目(201105056);吉林省教育厅科技计划基金资助项目(2007172,2010383);长春师范学院校内青年基金资助项目(010,012) |
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| 摘 要： | 提出一种基于连续属性离散化的知识分类方法.将条件属性按照重要度由高到低排序,并依照此排序将决策表中各条件属性依次离散化.在对决策表中条件属性的离散化过程中充分考虑已离散化的条件属性及决策属性,离散后的决策表不需要进一步约简.使用了模拟数据和UCI机器学习数据集中的数据进行算法测试,而且与其他离散化算法进行了对比,结果充分证明了新方法的有效性.
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| 关 键 词： | 粗糙集 离散化 属性重要度 区间划分 断点 |
One method of classification based on discretization of continuous attributes |
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| SUN Ying-hui,SUN Ying-juan,Pu Dong-bing,JIANG Yan.One method of classification based on discretization of continuous attributes[J].Journal of Northeast Normal University (Natural Science Edition),2012(1):45-49. |
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| Authors: | SUN Ying-hui SUN Ying-juan Pu Dong-bing JIANG Yan |
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| Institution: | 1.College of Computer,Jilin Normal University,Siping 136000,China; 2.College of Computer Science and Technology,Changchun Normal University,Changchun 130032,China; 3.College of Computer Science and Information Technology,Northeast Normal University,Changchun 130117,China) |
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| Abstract: | This paper gives a new method of classification based on discretization of continuous attributes.Firstly condition attributes are sorted in descending order by their significance,and then each condition attribute in the decision table is discretized in sequence by the order.Both discretized condition attributes and decision attributes are paid more attention during the course of discretization.And the discretized decision table needs not to be reduced further.Finally,the simulation data and the UCI machine learning data are used to verify the new method,and the new method is compared with other discretization algorithms.The results fully show the correctness and effectiveness of the proposed method of classification based on discretization of continuous attributes. |
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| Keywords: | rough set discretization significance of attributes region division breakpoint |
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