O'Reilly logo

Data Mining: Concepts and Techniques, 3rd Edition by Micheline Kamber, Jian Pei, Jiawei Han

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

5.7 Bibliographic Notes

Efficient computation of multidimensional aggregates in data cubes has been studied by many researchers. Gray, Chaudhuri, Bosworth, et al. [GCB+97] proposed cube-by as a relational aggregation operator generalizing group-by, crosstabs, and subtotals, and categorized data cube measures into three categories: distributive, algebraic, and holistic. Harinarayan, Rajaraman, and Ullman [HRU96] proposed a greedy algorithm for the partial materialization of cuboids in the computation of a data cube. Sarawagi and Stonebraker [SS94] developed a chunk-based computation technique for the efficient organization of large multidimensional arrays. Agarwal, Agrawal, Deshpande, et al. [AAD+96] proposed several guidelines for efficient computation ...

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required