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
  • Pourabbas, E.; Shoshani, A. (2003)
    Answering Joint Queries from Multiple Aggregate OLAP Databases
    in Lecture notes in computer science
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Pourabbas, E.; Shoshani, A. (literal)
Pagina inizio
  • 24 (literal)
Pagina fine
  • 34 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 2737 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 11 (literal)
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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