• DocumentCode
    2456526
  • Title

    Cubing Algorithms for XML Data

  • Author

    Cuzzocrea, Alfredo

  • Author_Institution
    ICAR-CNR, Univ. of Calabria, Rende, Italy
  • fYear
    2009
  • fDate
    Aug. 31 2009-Sept. 4 2009
  • Firstpage
    407
  • Lastpage
    411
  • Abstract
    The problem of effectively and efficiently building OLAP data cubes over XML data sources is prominent in next-generation Enterprise Information Systems. The latter is the goal of so-called cubing algorithms, which have attracted a great deal of attention from the Database and Data Warehousing research community. On the basis of this breaking evidence, in this paper we provide a comprehensive survey on cubing algorithms for XML data, along with a critical analysis of these algorithms, and discussion on open issues and future research trends in XML-OLAP research.
  • Keywords
    XML; data mining; data warehouses; OLAP data cubes; XML data; cubing algorithms; data warehousing; enterprise information systems; Aggregates; Algorithm design and analysis; Databases; Decision support systems; Information systems; Multidimensional systems; Software algorithms; Time series analysis; Warehousing; XML;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Database and Expert Systems Application, 2009. DEXA '09. 20th International Workshop on
  • Conference_Location
    Linz
  • ISSN
    1529-4188
  • Print_ISBN
    978-0-7695-3763-4
  • Type

    conf

  • DOI
    10.1109/DEXA.2009.97
  • Filename
    5337082