Nearest Neighbor Search Technique Using Keywords and Threshold

P. Shejawal, J. Pansare
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引用次数: 0

Abstract

Today's applications asking for finding spatial protests nearest to a predefined area in the meantime fulfill limitation of keywords. Best answer for such questions depends on the IR2-tree, which has some inadequacies that truly affect system s efficiency. To defeat those inadequacies another access strategy is produced called the Spatial-inverted Index (SI) that extends the modified file to adapt to multidimensional information, and accompanies calculations that can answer closest neighbor queries with keywords continuously. This new technique SI is produced broadens the capacities of routine modified record makes do with multidimensional information, alongside the arrangement of using so as to move reach queries replied SI results to calculation which tackles the issue continuously.
基于关键字和阈值的最近邻搜索技术
今天的应用程序要求找到最接近预定区域的空间抗议,同时满足关键字的限制。这些问题的最佳答案取决于ir2树,它有一些真正影响系统效率的不足之处。为了克服这些不足,产生了另一种访问策略,称为空间倒排索引(Spatial-inverted Index, SI),它扩展已修改的文件以适应多维信息,并伴随着可以连续回答带有关键字的最近邻查询的计算。这种新的SI技术的产生拓宽了常规修改记录处理多维信息的能力,并利用排列方式将查询回复SI结果移动到连续处理问题的计算中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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