| 基于周期表的时空关联规则挖掘方法与实验 |
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| 引用本文： | 柴思跃,苏奋振,周成虎.基于周期表的时空关联规则挖掘方法与实验[J].地球信息科学,2011,13(4):455-464. |
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| 作者姓名： | 柴思跃 苏奋振 周成虎 |
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| 作者单位： | 中国科学院地理科学与资源研究所资源与信息系统国家重点实验室;中国科学院研究生院; |
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| 摘 要： | 地理现象的周期性往往掩盖了许多地学规律,这也是地学数据挖掘的一个主要内容.本文以周期表设计了一种时空层次关联规则挖掘方法--PRules-Miner.模型利用周期表的表现形式对时空数据进行组织,并通过两步挖掘过程发现具有"遥相关"地理事物间的变化模式.模型算法分为3个步骤:(1)过滤周期表内无序数据:逐行地提取多周期内...
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| 关 键 词： | 数据挖掘 关联规则 时空数据 层次挖掘 周期表 |
| 收稿时间： | 2010-11-16; |
Period Table Based Spatio-temporal Association Rules Mining |
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| CHAI Siyue,SU Fenzhen,ZHOU Chenghu.Period Table Based Spatio-temporal Association Rules Mining[J].Geo-information Science,2011,13(4):455-464. |
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| Authors: | CHAI Siyue SU Fenzhen ZHOU Chenghu |
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| Institution: | CHAI Siyue1,2,SU Fenzhen1,ZHOU Chenghu1 (1.State Key Lab of Resources and Environmental Information System,Institute of Geographic Sciences and Natural Resources Research,CAS,Beijing 100101,China,2.Graduate University of Chinese Academy of Sciences,Beijing 100049,China) |
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| Abstract: | As periodical geographical phenomena cover lots of rules,geographic data mining provides a way to find out such rules.In this paper,an algorithm called PRules-Miner is designed based on period table to mine spatio-temporal association rules.Using this mining model,spatio-temporal data were reorganized from sequential dataset to period table set.And spatio-temporal association rules,which describe the tele-connected movement model of two or more objects,can be dug out through three steps: 1) Filtering disord... |
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| Keywords: | data mining association rules spatio-temporal data hierarchical structure period table |
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