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Contribution Details

Type Conference or Workshop Paper
Scope Discipline-based scholarship
Published in Proceedings Yes
Title Sequenced event set pattern matching
Organization Unit
Authors
  • Bruno Cadonna
  • Johann Gamper
  • Michael Hanspeter Böhlen
Presentation Type paper
Item Subtype Original Work
Refereed Yes
Status Published in final form
Language
  • English
ISBN 978-1-4503-0528-0
Page Range 33 - 44
Event Title 14th International Conference on Extending Database Technology
Event Type conference
Event Location Uppsala, Sweden
Event Start Date March 22 - 2011
Event End Date March 24 - 2011
Series Name Proceedings of the 14th International Conference on Extending Database Technology
Place of Publication New York, USA
Publisher Association for Computing Machinery
Abstract Text Event pattern matching is a query technique where a sequence of input events is matched against a complex pattern that specifies constraints on extent, order, values, and quantification of matching events. The increasing importance of such query techniques is underpinned by a significant amount of research work, the availability of commercial products, and by a recent proposal to extend SQL for event pattern matching. The proposed SQL extension includes an operator PERMUTE, which allows to express patterns that match any permutation of a set of events. No implementation of this operator is known to the authors.In this paper, we study the sequenced event set pattern matching problem, which is the problem of matching a sequence of input events against a complex pattern that specifies a sequence of sets of events rather than a sequence of single events. Similar to the PERMUTE operator, events that match with a set specified in the pattern can occur in any permutation, whereas events that match with different sets have to be strictly consecutive, following the order of the sets in the pattern specification. We formally define the problem of sequenced event set pattern matching, propose an automaton-based evaluation algorithm, and provide a detailed analysis of its runtime complexity. An empirical evaluation with real-world data shows that our algorithm outperforms a brute force approach that uses existing techniques to solve the sequenced event set pattern matching problem, and it validates the results from our complexity analysis.
Digital Object Identifier 10.1145/1951365.1951372
Other Identification Number merlin-id:2493
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