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。
An approximate XML query algorithm based on clustering of XML documents is proposed.
提出了一种基于XML文档聚类的XML近似查询算法。
We use slide window to approximate the data stream and propose two skyline query algorithms on data stream called CCS and PCS.
采用滑动窗口技术对数据流进行近似，提出了两种数据流上的轮廓查询方法：CCS算法和PCS算法。
Sliding window is often used as a sampling method for query processing and obtaining approximate answers over data stream.
滑动窗口是对数据流进行连续查询处理、得出近似查询结果的一种常用的数据采样技术。
Sliding window is often used as a sampling method for query processing and obtaining approximate answers over data stream.
滑动窗口是对数据流进行连续查询处理、得出近似查询结果的一种常用的数据采样技术。
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