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ESR-Tree:一种多维对象的动态索引方法
引用本文:徐焕,林坤辉.ESR-Tree:一种多维对象的动态索引方法[J].计算机应用,2005,25(12):2872-2874.
作者姓名:徐焕  林坤辉
作者单位:厦门大学软件学院
基金项目:“985工程”智能化国防信息安全技术资助项目
摘    要:在研究SR-tree(Sphere/Rectangle-tree)和X-tree(eXtended node tree)的结构与性能的基础上,针对SR-tree分裂算法的不足,改进了分裂算法,结合两者的优点,设计了一种新的多维索引结构ESR-tree(Extended SR-tree)。实验表明,随着数据量和维数的增多,ESR-tree的性能要优于SR-tree和X-tree。

关 键 词:多维索引    超球体    超矩形    超级节点
文章编号:1001-9081(2005)12-2872-03
收稿时间:2005-06-28
修稿时间:2005-06-282005-09-16

ESR-Tree: a dynamic index for multi-dimensional objects
XU Huan,LIN Kun-hui.ESR-Tree: a dynamic index for multi-dimensional objects[J].journal of Computer Applications,2005,25(12):2872-2874.
Authors:XU Huan  LIN Kun-hui
Affiliation:College of Software,Xiamen University,Fujian Xiamen 361005,China
Abstract:With study on the structure and performance of SR-tree(Sphere/Rectangle-tree) and X-tree(eXtended node tree),the split algorithm was improved to make up for the shortage of the SR-tree algorithm.A new multi-dimensional indexing structure ESR-tree(Extended SR-tree) was designed by combining the advantages of the both.With the increase of data amount and dimensions,experiments show that the performance of ESR-tree is much better than that of SR-tree and X-tree.
Keywords:multi-dimensional  super-sphere  super-rectangle  super-node
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