• DocumentCode
    610425
  • Title

    Query time scaling of attribute values in interval timestamped databases

  • Author

    Dignos, A. ; Bohlen, M. ; Gamper, J.

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Zurich, Zurich, Switzerland
  • fYear
    2013
  • fDate
    8-12 April 2013
  • Firstpage
    1304
  • Lastpage
    1307
  • Abstract
    In valid-time databases with interval timestamping each tuple is associated with a time interval over which the recorded fact is true in the modeled reality. The adjustment of these intervals is an essential part of processing interval timestamped data. Some attribute values remain valid if the associated interval changes, whereas others have to be scaled along with the time interval. For example, attributes that record total (cumulative) quantities over time, such as project budgets, total sales or total costs, often must be scaled if the timestamp is adjusted. The goal of this demo is to show how to support the scaling of attribute values in SQL at query time.
  • Keywords
    SQL; database management systems; query processing; SQL; attribute value query time scaling; interval timestamped data processing; interval timestamped databases; project budgets; total costs; total sales; Aggregates; Algebra; Artificial intelligence; Databases; Integral equations; Market research; Semantics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Engineering (ICDE), 2013 IEEE 29th International Conference on
  • Conference_Location
    Brisbane, QLD
  • ISSN
    1063-6382
  • Print_ISBN
    978-1-4673-4909-3
  • Electronic_ISBN
    1063-6382
  • Type

    conf

  • DOI
    10.1109/ICDE.2013.6544930
  • Filename
    6544930