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一种新的计算稀疏数据立方体的方法

A new method to compute the sparse datacube
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摘要 在飞速发展的信息社会中,数据的使用量逐渐增多,在大量的数据中存在很多稀疏数据。现介绍一个高度运行维层次聚集立方体(DHAC,dimension hierarchy aggregate cube)和对应的增量更新算法,使用该算法进行稀疏数据立方体的计算。 In the fast development information society,the quantity of the data that arc used are growing gradually, there are lots of sparse data in the mounts of data. This paper proposes a highly performance dimension hierarchy aggregate cube (DHAC) and its novel incremental update algorithm with the dimension hierarchy aggregate technique on the cube, using this algorithm it computes the store of the sparse datacube.
出处 《信息技术》 2006年第12期60-62,共3页 Information Technology
关键词 DHAC 高阶方体 稀疏数据立方体 DHAC high level euboid sparse datacube
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