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Attribute value reordering for efficient hybrid OLAP
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Source Data Warehousing and OLAP archive
Proceedings of the 6th ACM international workshop on Data warehousing and OLAP table of contents
New Orleans, Louisiana, USA
SESSION: OLAP table of contents
Pages: 1 - 8  
Year of Publication: 2003
ISBN:1-58113-727-3
Authors
Owen Kaser  University of New Brunswick, Saint John, Canada
Daniel Lemire  National Research Council of Canada, Fredericton, Canada
Sponsors
SIGIR: ACM Special Interest Group on Information Retrieval
ACM: Association for Computing Machinery
SIGMIS: ACM Special Interest Group on Management Information Systems
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 5,   Downloads (12 Months): 42,   Citation Count: 2
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ABSTRACT

The normalization of a data cube is the process of choosing an ordering for the attribute values, and the chosen ordering.Our optimized hybrid OLAP storage mechanism was observed to be 44% more storage efficient than ROLAP and the gains due to normalization alone accounted for 45% of this increase in efficiency.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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O. Kaser. Compressing arrays by ordering attribute values. under review, 2002.
 
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O. Kaser. Compressing MOLAP arrays by attribute-value reordering: An experimental analysis. Technical Report TR-02-001, Dept. of CSAS, U. of New Brunswick, Saint John, Canada, 2002.
 
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O. Kaser and D. Lemire. Attribute Value Reordering for Efficient Hybrid OLAP. Technical Report NRC-46509, National Research Council of Canada, 2003.
 
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Collaborative Colleagues:
Owen Kaser: colleagues
Daniel Lemire: colleagues