• DocumentCode
    1872570
  • Title

    Conjunction, sequence, and interval relations in event stream processing

  • Author

    Bhandari, Sakshi ; Urban, Susan D.

  • Author_Institution
    Dept. of Comput. Sci., Texas Tech Univ., Lubbock, TX, USA
  • fYear
    2013
  • fDate
    8-11 Sept. 2013
  • Firstpage
    1489
  • Lastpage
    1494
  • Abstract
    The conjunction operator can be augmented with temporal constraints to define an arbitrary pattern of events in event stream processing (ESP). However, using temporal constraints to specify patterns can be complex. This research has defined an operator hierarchy, where the top of the hierarchy defines the conjunction operator and the leaves of the hierarchy define more specific semantics associated with a sequence of events. The use of the specialized operators simplifies pattern expression and make the sequence semantics clear. Furthermore, in an experimental study, patterns using operators from the hierarchy outperform patterns expressed using the conjunction operator with temporal constraints in run time performance, further validating the usefulness of the operator hierarchy.
  • Keywords
    data mining; ESP; conjunction operator; event stream processing; interval relation; operator hierarchy; pattern expression; sequence; temporal constraint; Bars; Complexity theory; Computer science; Educational institutions; Encoding; Runtime; Semantics; event operators; event processing language; operator semantics; sequence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Systems (FedCSIS), 2013 Federated Conference on
  • Conference_Location
    Krako??w
  • Type

    conf

  • Filename
    6644214