Complex event processing synergies with predictive analytics

Gabriella Tóth, Lajos Jeno Fülöp, László Vidács, Árpád Beszédes, Hunor Demeter, Lóránt Farkas

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

Abstract

For Complex Event Processing (CEP), the synergy with Predictive Analytics (PA) is a promising research direction. In this paper we focus on the inclusion of PA technologies into CEP applications. Involving PA opens a wide range of possibilities in several application fields. However, we have observed that only a few CEP solutions apply PA techniques. We extended a CEP solution with predictive capabilities, defined the key aspects of the combination of these techniques, and summarized how CEP and PA could gain from the joint solution. Our approach is demonstrated in a proof-of-concept experiment and simulation results are provided.

Original languageEnglish
Title of host publicationProceedings of the 4th ACM International Conference on Distributed Event-Based Systems, DEBS 2010
Pages95-96
Number of pages2
DOIs
Publication statusPublished - Aug 26 2010
Event4th ACM International Conference on Distributed Event-Based Systems, DEBS 2010 - Cambridge, United Kingdom
Duration: Jul 12 2010Jul 15 2010

Publication series

NameProceedings of the 4th ACM International Conference on Distributed Event-Based Systems, DEBS 2010

Other

Other4th ACM International Conference on Distributed Event-Based Systems, DEBS 2010
CountryUnited Kingdom
CityCambridge
Period7/12/107/15/10

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Keywords

  • complex event processing
  • predictive analytics

ASJC Scopus subject areas

  • Computer Science Applications
  • Hardware and Architecture
  • Software
  • Control and Systems Engineering

Cite this

Tóth, G., Fülöp, L. J., Vidács, L., Beszédes, Á., Demeter, H., & Farkas, L. (2010). Complex event processing synergies with predictive analytics. In Proceedings of the 4th ACM International Conference on Distributed Event-Based Systems, DEBS 2010 (pp. 95-96). (Proceedings of the 4th ACM International Conference on Distributed Event-Based Systems, DEBS 2010). https://doi.org/10.1145/1827418.1827436