http://www.cnr.it/ontology/cnr/individuo/prodotto/ID7075
Answering Joint Queries from Multiple Aggregate OLAP Databases (Articolo in rivista)
- Type
- Label
- Answering Joint Queries from Multiple Aggregate OLAP Databases (Articolo in rivista) (literal)
- Anno
- 2003-01-01T00:00:00+01:00 (literal)
- Alternative label
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Pourabbas, E.; Shoshani, A. (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
- Rivista
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
- Note
- Scopu (literal)
- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- IASI-Istituto di Analisi dei Sistemi ed Informatica \"Antonio Ruberti\"
Lawrence Berkeley National laboratory, LBNL, UNiversity of Californica, Berkeley, USA (literal)
- Titolo
- Answering Joint Queries from Multiple Aggregate OLAP Databases (literal)
- Abstract
- Given an OLAP query expressed over multiple source OLAP databases,
we study the problem of evaluating the result OLAP target
database. The problem arises when it is not possible to derive the
result from a single database. The method we use is the linear
indirect estimator, commonly used for statistical estimation. We
examine two obvious computational methods for computing such a
target database, called the \"Full-cross-product\" (F) and the
\"Pre-aggregation\" (P) methods. We study the accuracy and
computational complexity of these methods. While the method F
provides a more accurate estimate, it is more expensive
computationally than P. Our contribution is in proposing a third
new method, called the \"Partial-Pre-aggregation\" method (PP),
which is significantly less expensive than F, but is just as
accurate. (literal)
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