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  • 标题:Spatial Index Keyword Search Mechanism inMulti-dimensional Database Management System
  • 本地全文:下载
  • 作者:Pradeep Panchal ; Prof. Shweta Joshi
  • 期刊名称:International Journal of Innovative Research in Science, Engineering and Technology
  • 印刷版ISSN:2347-6710
  • 电子版ISSN:2319-8753
  • 出版年度:2017
  • 卷号:6
  • 期号:7
  • 页码:14216
  • DOI:10.15680/IJIRSET.2017.0607218
  • 出版社:S&S Publications
  • 摘要:Nearest neighbor look in media databases needs more help from similitude seek in question handling.Range seek and closest neighbor look depends for the most part on the geometric properties of the items fulfilling bothspatial predicate and a predicate on their related writings. We do have numerous portable applications that can findcraved questions by regular spatial inquiries. Ebb and flow best answer for the closest neighbor look are IR2 treeswhich have numerous execution bottlenecks and lacks. In this way, a novel strategy is presented in this paper with aspecific end goal to expand the effectiveness of the hunt called as Spatial Inverter Index. This new SI list strategyupgrades the customary altered file plan to adapt up to high multidimensional information and alongside calculationsthat is perfect with the continuous catchphrase seek.
  • 关键词:Querying; multi-dimensional data; indexing; hashing.
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