Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/46128
Title: CORE+: A Complex Event Recognition Engine in C++
Authors: Bossonney, Kyle
Buzeta, Nicolás
Calisto, Vincente
López, Juan-Eduardo
Riveros, Cristian
VANSUMMEREN, Stijn 
Issue Date: 2025
Publisher: ACM
Source: Companion of the 2025 International Conference on Management of Data (SIGMOD-Companion ’25), June 22–27, 2025, Berlin, Germany, ACM,
Status: In press
Abstract: Complex Event Recognition (CER) refers to the activity of analyzing streams of continuously arriving event data, to recognize collections of events that satisfy user-defined patterns. CER is known to be computationally challenging, since it requires maintaining a set of partial matches, and this set quickly grows super-linearly in the number of processed events. In this paper we demonstrate CORE+, a mature COmplex event Recognition Engine that circumvents the super-linear partial match problem. CORE+ is based on a research prototype named CORE; we demonstrate the new features and capabilities that make CORE+ a release version of CORE.
Keywords: Data streaming;complex event recognition
Document URI: http://hdl.handle.net/1942/46128
ISBN: 9798400715648
DOI: 10.1145/3722212.3725090
Category: C1
Type: Proceedings Paper
Appears in Collections:Research publications

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