Therefore, the efficient index technology should be used to raise the efficiency of spatial data processing.
因此必须借助高效的索引技术来提高空间数据的处理效率。
Nowadays the applications of spatial data similarity search are widely needed, and high dimensional spatial data index becomes a key technology of similarity search.
目前空间数据相似性查询有着广泛的应用需求，解决相似性查询问题的一项关键技术就是高维空间数据索引。
In the three piece of writing, a lot of application technology of GL Algorithm, such as index transformation, problem transformation and data transformation, have been given.
第三部分给出GL算法的应用技术。包括指标转化、问题转化和数据转化三方面的内容。
The present paper is arranges these two in view of the XML data index and the inquiry result with the XML essential character inquiry related technology development research.
本论文即是针对XML数据索引和查询结果排序这两个与XML关键字查询相关的技术开展研究。
A method to monitor drought using crop water stress index which is based on GIS technology combined with remote sensing data, graph and meteorological data was presented.
该文主要研究利用遥感技术资料，基于GIS技术，通过作物缺水指数模型监测旱情的方法。
Among concrete statistics technical research, it makes systematic discussion about some technological details of sample method, data counting, and technology index and so on.
在具体的统计技术研究中，对统计中的抽样方法、数据采集技术、指标推算等技术细节做了系统地探讨。
This paper analyzes data retrieval of XML currently, and proposes a kind of path index technology which have been combined with inverted file to implement retrieval both on context and structure.
该文分析了当前对XML数据检索的相关工作，提出了一种路径索引技术，并将之无缝结合了基于文本的倒排索引文档，以实现XML文档的内容和结构的双重检索。
Due to the data access skew, index technology based on data access probability is proposed. At last ord algorithm is proposed to create optimal broadcast sequence according to given index tree.
针对数据库中数据访问的倾斜性，文章提出建立基于数据访问概率的索引技术，并给出了ORD算法，它可以根据给定的索引树创建最优的广播序列。
It is widely applied in other data mining research such as association analysis, period's analysis, maximal and closed patterns, query, classification and index technology etc.
其方法被广泛应用于许多其它数据挖掘任务中，如相关性分析，周期分析，最大模式，闭合模式，查询，分类，索引等等。
It is widely applied in other data mining research such as association analysis, period's analysis, maximal and closed patterns, query, classification and index technology etc.
其方法被广泛应用于许多其它数据挖掘任务中，如相关性分析，周期分析，最大模式，闭合模式，查询，分类，索引等等。
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