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Abstract: The data cube and iceberg cube computation problem has been studied by many researchers. There are three major approaches developed in this direction: (1) top-down computation, represented by MultiWay array aggregation [22], which utilizes shared computation and performs well on dense data sets; (2) bottom-up computation, represented by BUC [6], which takes advantage of Apriori Pruning and performs well on sparse data sets; and (3) integrated top-down and bottom-up computation, represented by... (Update)
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BibTeX entry: (Update)
Z. Shao, J. Han, and D. Xin. Mm-cubing: Computing iceberg cubes by factorizing the lattice space. to appear in the Proceedings of the 16th International Conference on Scientific and Statitistical Database Management (SSDBM), 2004. http://citeseer.ist.psu.edu/shao04mmcubing.html More
@inproceedings{ mm-cubing,
author = "Zheng Shao and Jiawei Han and Dong Xin",
title = "MM-Cubing: Computing Iceberg Cubes by Factorizing the Lattice
Space",
booktitle = "Proceedings of the 16th International Conference on
Scientific and Statitistical Database Management (SSDBM)",
year = "2004",
url = "citeseer.ist.psu.edu/shao04mmcubing.html",
url = "http://citeseer.ist.psu.edu/shao04mmcubing.html" }
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