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通用搜索树
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  generalized search tree
     EGIST: AN IMPROVED GENERALIZED SEARCH TREE
     EGiST:一种改进的通用搜索树结构
短句来源
     iGiST: An improved generalized search tree
     iGiST:一个改进的通用搜索树
短句来源
     eGiST:An Improved Generalized Search Tree
     eGiST:一种改进的通用搜索树
短句来源
     Based on the GiST(generalized search tree), EGiST is presented.
     在介绍通用搜索树结构的基础上 ,提出了一种改进的搜索树结构 .
短句来源
     First,a Generalized Search Tree(GiST),which has the extensibility,is introduced,and the disadvant-ages of the strategy of node-overflowing are analyzed. Then an improved generalized search tree-eGiST is presented,which improves the storage utilization and system performance.
     该文首先介绍了具有这种可扩展性的通用搜索树结构(GiST),分析了GiST在结点溢出处理策略上的不足,并提出了一种改进的通用搜索树结构eGiST,提高了空间利用率和系统效率。
短句来源
  “通用搜索树”译为未确定词的双语例句
     Object-relational DBMSs (ORDBMSs) are designed to support the demand s of spatial application domains by providing an extensible architecture. GiST(g eneralized search tree) provides a extensible index structure, but its space uti lization is low.
     对象关系数据库采用可扩展的的体系结构支持空间数据库等多种应用领域的需 求,通用搜索树(GiST)提供了一种可扩展的索引结构,但其空间利用率不高?
短句来源
     This paper proposes a Compact GiST structure, which can improv e the space utilization of GiST efficiently by reducing the frequency of node sp litting.
     该文提出紧凑 通用搜索树(Compact GiST)的结构,通过改进算法降低了结点分裂的频率,可以有效地提高 空间利用率?
短句来源
  相似匹配句对
     iGiST: An improved generalized search tree
     iGiST:一个改进的通用搜索
短句来源
     eGiST:An Improved Generalized Search Tree
     eGiST:一种改进的通用搜索
短句来源
     EGIST: AN IMPROVED GENERALIZED SEARCH TREE
     EGiST:一种改进的通用搜索结构
短句来源
     The Trees
    
短句来源
     Trees
    
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Object relational DBMSs ( ORDBMSs ) are designed to satisfy the demands of novel application domains by providing an extensible architecture and the domain specific component. So, providing an extensible access method is one of the important aspects of ORDBMSs. Based on the GiST(generalized search tree), EGiST is presented. It can be used to implement the B + tree,RD Tree,K D tree,SS tree, and other kinds of search trees.

对象关系数据库系统采用可扩展的体系结构和支持特定领域的构件相结合的方式来满足各种新型应用领域的要求 ,为此 ,提供一个可扩展的存取结构成为对象关系数据库研究中的一个重要方面 .在介绍通用搜索树结构的基础上 ,提出了一种改进的搜索树结构 .该结构具有很好的灵活性和适应性 ,基于该结构可以实现一些常见的搜索树形式 ,如 B+树、RD树、K- D树、SS树等

On the basis of analyzing disadvantages of GiST′s method to build the tree and the defection of strategies for handling node overflowing and node underflowing, an improved GiST was put forward. It has the method of packing tree, which increases the speed of building the tree. Some modifications such as handling node overflowing and node underflowing were proposed deferring the time of node splitting and merging. iGiST is better than GiST in system efficiency and space utilization ratio. Experiment results...

On the basis of analyzing disadvantages of GiST′s method to build the tree and the defection of strategies for handling node overflowing and node underflowing, an improved GiST was put forward. It has the method of packing tree, which increases the speed of building the tree. Some modifications such as handling node overflowing and node underflowing were proposed deferring the time of node splitting and merging. iGiST is better than GiST in system efficiency and space utilization ratio. Experiment results on a spatial database system were presented.

分析了通用搜索树建树方法的不足以及结点溢出处理和下溢处理策略的缺陷 ,提出了一个改进的通用搜索树 ,增加了装树功能 ,提高了建树速度 ,同时对结点溢出处理和下溢处理策略做了改进 ,推迟了结点分裂和合并的时间 ,改进后的通用搜索树比原结构在系统效率和空间利用率方面有较大提高 .最后给出在空间数据库系统上的实验结果

The new application domains demand that DBMSs provide index structures to support extensible data types and query predicts.First,a Generalized Search Tree(GiST),which has the extensibility,is introduced,and the disadvant-ages of the strategy of node-overflowing are analyzed.Then an improved generalized search tree-eGiST is presented,which improves the storage utilization and system performance.

新型应用领域的出现,要求数据库系统提供支持数据类型和查询谓词可扩展的索引结构。该文首先介绍了具有这种可扩展性的通用搜索树结构(GiST),分析了GiST在结点溢出处理策略上的不足,并提出了一种改进的通用搜索树结构eGiST,提高了空间利用率和系统效率。

 
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