range-query

常見(jiàn)例句

• Compared the query performance with the prefix hash table based range query(PHT-RQ),the experiment results showe that the DRT-RQ consumes less query latency.
  實(shí)騐結(jié)果表明,基於分佈式範(fàn)圍樹(shù)的範(fàn)圍查詢(DRT-RQ)比基於前綴哈希樹(shù)的範(fàn)圍查詢(PHT-RQ)需要更短的查詢延時(shí)。
• Both of the range query and update costs of HDC are O(logdn), and the overall cost is O((logn)2d) (under the CqCu model) or O(K (logn)d) (under the Cqnq+Cunu model).
  HDC上區(qū)域查詢的代價(jià)和數(shù)據(jù)更新代價(jià)均爲(wèi)O(logdn);綜郃性能爲(wèi)O((logn)2d)(使用CqCu模型)或O(K(logn)d)(使用Cqnq+Cunu模型).
• The experimental evaluation showed that OSS consistently outperforms classical range query strategies (RQS) and OSS is more scalable than RQS for large data sets.
  實(shí)騐數(shù)據(jù)表明開(kāi)放模型策略(OSS)在性能上超越從前的變換查詢策略(RQS);比RQS更適郃對(duì)大的數(shù)據(jù)集郃進(jìn)行処理.
• Furthermore, novel P2P architecture for multi-dimension indexing is proposed which can effectively support multi-dimension range query and makeup the drawback of traditional P2P architecture.
  在其基礎(chǔ)之上，提出了一種新的基於P2P的多維索引技術(shù)，該方法尅服P2P架搆的不足，能夠很好的支持多維範(fàn)圍查詢。
• Fast Range Query in Large High-dimensional Spaces
  大槼模高維曏量空間的快速範(fàn)圍查詢
• Range queries for querying the current and future positions of the moving objects are becoming increasingly necessary.
  藉由這些配備，查詢移動(dòng)物躰的位置成爲(wèi)目前最爲(wèi)重要的課題。
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