| 一种区间值聚类的数据挖掘方法 |
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| 引用本文： | 徐章艳,尹云飞. 一种区间值聚类的数据挖掘方法[J]. 系统工程与电子技术, 2005, 27(3): 565-567 |
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| 作者姓名： | 徐章艳 尹云飞 |
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| 作者单位： | 广西师范大学数学与计算机科学学院,广西,桂林,541004 |
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| 摘 要： | 提出了一种区间值聚类的数据挖掘方法。该方法首先将数据库中的数据按照属性进行聚类,将它们划分为若干区间,对于同一区间中的数据赋予相同的编号,以此处理直至数据库的最后一个属性。在完成这种转换后即可使用关联规则的挖掘方法。该方法与传统的数据挖掘方法相比更加符合实际。大量的仿真数据集和真实数据集的实验结果表明该算法是有效的。
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| 关 键 词： | 区间值算法 聚类 数据库 数据挖掘 关联规则 |
| 文章编号： | 1001-506X(2005)03-0565-03 |
| 修稿时间： | 2004-04-14 |
Method for interval-value clustering mining |
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| XU Zhang-yan,YIN Yun-fei. Method for interval-value clustering mining[J]. System Engineering and Electronics, 2005, 27(3): 565-567 |
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| Authors: | XU Zhang-yan YIN Yun-fei |
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| Abstract: | A method of data mining based interval-values clustering is proposed. This kind of way is to cluster the data in a database by their attributes, and divides them into a certain intervals, to the data in the same interval we bestow them the same signal; by this way we accomplish the division for all the attributes in the database. After finishing the exchange we can mining it by the association rule mining method. This kind of method is more practical than the traditional way. Large quantity of simulative data and true data were tested to denote the valid of this method. |
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| Keywords: | interval-value algorithm clustering databased data mining association rule |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
