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文章基本信息

  • 标题:Sensitive Distance Estimates Technique Analysis for Continuously K-Nearest Neighbors Query in Multi-Stream Processing
  • 本地全文:下载
  • 作者:Ling Wang ; Tie Hua Zhou ; Kyung Joo Cheoi
  • 期刊名称:International Journal of Multimedia and Ubiquitous Engineering
  • 印刷版ISSN:1975-0080
  • 出版年度:2012
  • 卷号:7
  • 期号:2
  • 出版社:SERSC
  • 摘要:In many real-world applications, data streams are usually collected in a decentralized manner such like sensor network, ubiquities sensor network, internet traffic analysis, and so on. In particularly, requirements for continuous, fast, high-volumes, adaptability, costly streaming data, an approximated analysis is needful for fast response to users on forward predicates. Distance estimate for both of “continuously” queries and streams is still a more challenge area because of a smaller or larger threshold selected is very easily to lead to a wrong result for continuously k-nearest neighbor queries. Therefore, we proposed a required filtering method to help to choose a well threshold of distance estimate in order to control error rates of approximated answers.
  • 关键词:filtering; continuously k-nearest neighbors; distributed streams; distance estimates.
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