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Characterization of hierarchies and some operators in OLAP environment
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Source Data Warehousing and OLAP archive
Proceedings of the 2nd ACM international workshop on Data warehousing and OLAP table of contents
Kansas City, Missouri, United States
Pages: 54 - 59  
Year of Publication: 1999
ISBN:1-58113-220-4
Authors
Elaheh Pourabbas  Istituto di Analisi dei Sistemi ed Informatica - CNR, Viale Manzoni 30, 00185 Roma, Italy
Maurizio Rafanelli  Istituto di Analisi dei Sistemi ed Informatica - CNR, Viale Manzoni 30, 00185 Roma, Italy
Sponsors
SIGMIS: ACM Special Interest Group on Management Information Systems
SIGART: ACM Special Interest Group on Artificial Intelligence
SIGIR: ACM Special Interest Group on Information Retrieval
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 6,   Downloads (12 Months): 34,   Citation Count: 3
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ABSTRACT

Recently numerous proposals for modelling and querying Multidimensional Databases (MDDB) are proposed. Among the still open problems there is a rigorous classification of the different types of hierarchies. In this paper we propose and discuss some different types of hierarchies within a single dimension of a cube. These hierarchies divide in different levels of aggregation a single dimension. Depending on them, we discuss the characterization of some OLAP operators which refer to hierarchies in order to maintain the data cube consistency. Moreover, we propose a set of operators for changing the hierarchy structure. The issues discussed provides modelling flexibility during the scheme design phase and correct data analysis.


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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Codd E.F., Codd SK, Salley C.T., Providing OLAF (on-line analytical processing) to user-analysts: An IT mandate. Technical report, 1993.
 
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OLAP Council, The OLAP glossary. http://www.olapcouncil.org. The OLAP Council 1997.
 
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Su S.Y.W., SAM: A Semantic Association Model for Corporate and Scientific Statistical Databases, Journal of Information Sciences, Vol. 29, No. 2-3, May-June 1983, 151-199.


Collaborative Colleagues:
Elaheh Pourabbas: colleagues
Maurizio Rafanelli: colleagues