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@inproceedings{DBLP:conf/vldb/BaralisPT97,
author = {Elena Baralis and
Stefano Paraboschi and
Ernest Teniente},
editor = {Matthias Jarke and
Michael J. Carey and
Klaus R. Dittrich and
Frederick H. Lochovsky and
Pericles Loucopoulos and
Manfred A. Jeusfeld},
title = {Materialized Views Selection in a Multidimensional Database},
booktitle = {VLDB'97, Proceedings of 23rd International Conference on Very
Large Data Bases, August 25-29, 1997, Athens, Greece},
publisher = {Morgan Kaufmann},
year = {1997},
isbn = {1-55860-470-7},
pages = {156-165},
ee = {db/conf/vldb/BaralisPT97.html},
crossref = {DBLP:conf/vldb/97},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
A multidimensional database is a data repository that supports the efficient execution of complex business decision queries. Query response can be significantly improved by storing an appropriate set of materialized views. These views are selected from the multidimensional lattice whose elements represent the solution space of the problem.
Several techniques have been proposed in the past to perform the selection of materialized views for databases with a reduced number of dimensions. When the number and complexity of dimensions increase, the proposed techniques do not scale well.
The technique we are proposing reduces the solution space by considering only the relevant elements of the multidimensional lattice. An additional statistical analysis allows a further reduction of the solution space.
Copyright © 1997 by the VLDB Endowment. Permission to copy without fee all or part of this material is granted provided that the copies are not made or distributed for direct commercial advantage, the VLDB copyright notice and the title of the publication and its date appear, and notice is given that copying is by the permission of the Very Large Data Base Endowment. To copy otherwise, or to republish, requires a fee and/or special permission from the Endowment.
