...查询敏感(Query Sensitive)搜索、错误边界(Error Bound)控制查询、概率查询(Probabilistic Query)、近似查询(Approximate Query)、分布式查询(Distributed Query)将成为新的研究方向和热点.
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approximate query processing 近似查询处理 ; 预估查询处理
Approximate Query Computation 近似查询计算
approximate continuous range query 近似连续范围查询
This paper proposes a novel approach for continuous approximate query over trajectory stream based on sliding window.
提出一种基于滑动窗口的K-最近邻(KNN)近似查询算法。
参考来源 - 面向轨迹数据流的KNN近似查询·2,447,543篇论文数据，部分数据来源于NoteExpress
This paper deals with two ways to manage aggregate queries: materialized view and approximate query, concludes the processing methods of each way and presents future research directions.
讨论了目前聚集查询处理的两种方法，即实化视图和近似查询，总结了国内外对其研究现状，并对未来的研究方向提出看法。
Aiming at synopsis computation of approximate query in data stream, a novel wavelet transformation algorithm, Minimum Error based Dimension Compression (MEDC) algorithm, is proposed in this paper.
针对数据流上近似查询中的梗概计算，提出了一种新的基于最小误差的维压缩小波变换算法(MEDC)。
This paper researches into the characteristic of aggregate query rewriting and gives a kind of rapidly approximate query computing model based on aggregate query rewriting under the data warehouse.
研究了聚集查询重写的特征，根据数据仓库环境下聚集查询需要快速计算结果的特点，给出了一个基于聚集查询重写的快速近似计算模型。
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