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)。
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.
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。
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.
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