• DocumentCode
    2369364
  • Title

    An algebra for inductive query evaluation

  • Author

    Lee, S.D. ; De Raedt, Luc

  • Author_Institution
    Inst. fur Inf., Freiburg Univ., Germany
  • fYear
    2003
  • fDate
    19-22 Nov. 2003
  • Firstpage
    147
  • Lastpage
    154
  • Abstract
    Inductive queries are queries that generate pattern sets. We study properties of Boolean inductive queries, i.e. queries that are Boolean expressions over monotonic and antimonotonic constraints. More specifically, we introduce and study algebraic operations on the answer sets of such queries and show how these can be used for constructing and optimizing query plans. Special attention is devoted to the dimension of the queries, i.e. the minimum number of version spaces needed to represent the answer sets. The framework has been implemented for the pattern domain of strings and experimentally validated.
  • Keywords
    Boolean algebra; constraint theory; data mining; query processing; Boolean expression; algebraic operation; antimonotonic constraint; inductive query evaluation; monotonic constraint; query plan optimization; Algebra; Data mining; Database systems; Query processing; Relational databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Mining, 2003. ICDM 2003. Third IEEE International Conference on
  • Print_ISBN
    0-7695-1978-4
  • Type

    conf

  • DOI
    10.1109/ICDM.2003.1250914
  • Filename
    1250914