| 从空间数据库中挖掘频繁邻近类别集的一种新算法 |
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| 引用本文： | 马荣华,何增友.从空间数据库中挖掘频繁邻近类别集的一种新算法[J].武汉大学学报(信息科学版),2007,32(2):112-114. |
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| 作者姓名： | 马荣华 何增友 |
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| 作者单位： | 1. 中国科学院南京地理与湖泊研究所,南京市北京东路73号,210008
2. 哈尔滨工业大学计算机系,哈尔滨市西大直街92号,150001 |
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| 摘 要： | 提出了一个邻近类别集挖掘的新算法。与已有算法相比，新算法能够找到完备、正确的邻近类别集的集合，并且给出了算法正确性和完备性的理论证明。
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| 关 键 词： | 空间数据库 空间关联规则 关联位置模式 邻近类别集 数据挖掘 |
| 文章编号： | 1671-8860(2007)02-0112-03 |
| 修稿时间： | 2006年11月4日 |
Mining Complete and Correct Frequent Neighboring Class Sets from Spatial Databases |
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| MA Ronghua,HE Zengyou.Mining Complete and Correct Frequent Neighboring Class Sets from Spatial Databases[J].Geomatics and Information Science of Wuhan University,2007,32(2):112-114. |
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| Authors: | MA Ronghua HE Zengyou |
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| Abstract: | A recent work has introduced the problem of mining neighboring class sets,where instances of each class of a neighboring class set are grouped using their Euclidean distances from each other.Although the concept of neighboring class sets is a useful one,the effective computation of frequent neighboring class sets is only partially solved.A novel algorithm for mining frequent neighboring class sets from spatial datasets is presented.Compared to the previous algorithm,the algorithm can discover complete and correct frequent neighboring class sets. |
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| Keywords: | spatial database spatial association rules spatial co-location patterns neighbor-ing class set data mining |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
