In the feature selection stage, the computing approximate gains in parallel is adopted in order to solve the computational expensiveness of the model and system spending.

在特征选择阶段，采用计算近似增益的平行算法，解决模型计算量过大和系统开销问题。

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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。

youdao

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。

youdao