| 空间分类数据同位规则挖掘算法 |
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| 引用本文： | 王占全,王申康,华成.空间分类数据同位规则挖掘算法[J].计算机辅助设计与图形学学报,2005,17(10):2339-2344. |
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| 作者姓名： | 王占全 王申康 华成 |
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| 作者单位： | 1. 华东理工大学计算机科学与工程系,上海,200237
2. 浙江大学计算机科学与技术学院,杭州,310027 |
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| 摘 要： | 针对空间分类数据的特性，提出一种空间分类数据同位规则挖掘算法．利用空间关系定义数据挖掘中事务的概念，采用多层参与索引搜索空间同位规则，从而实现了对空间分类数据的有效处理．采用文中算法对杭州地区119火灾数据进行实验，并验证了该算法的适用范围和性能．实验表明，该算法可以有效地处理经过离散化后的连续数据．
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| 关 键 词： | 空间同位 邻域 规则 分类数据 |
| 收稿时间： | 2004-07-08 |
| 修稿时间： | 2004-07-082004-10-25 |
Spatial Co-location Rule Mining Algorithm in Categorical Data |
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| Wang Zhanquan,Wang Shenkang,Hua Cheng.Spatial Co-location Rule Mining Algorithm in Categorical Data[J].Journal of Computer-Aided Design & Computer Graphics,2005,17(10):2339-2344. |
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| Authors: | Wang Zhanquan Wang Shenkang Hua Cheng |
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| Affiliation: | 1 Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai 200237; 2 College of Computer Science and Technology, Zhejiang University, Hangzhou 310027 |
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| Abstract: | Concerning the categorical characteristics of spatial data, a rule-based spatial co-location method in categorical data is introduced. This algorithm defines the transaction of data mining by using spatial relation and finds the co-location rules by using the multi-layer participation index. It can solve the problem effectively. Some experiments have been made on fire data in a city by this method. The range of applications and the performance of this approach are analyzed, and it proves that the rule-based spatial colocation approach in categorical data is applicable to other continuous data after being discreted, with good results obtained. |
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| Keywords: | ,patial co-location, neighborhood set domain, rule, categorical data |
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