Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/46128
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DC Field | Value | Language |
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dc.contributor.author | Bossonney, Kyle | - |
dc.contributor.author | Buzeta, Nicolás | - |
dc.contributor.author | Calisto, Vincente | - |
dc.contributor.author | López, Juan-Eduardo | - |
dc.contributor.author | Riveros, Cristian | - |
dc.contributor.author | VANSUMMEREN, Stijn | - |
dc.date.accessioned | 2025-06-11T07:32:13Z | - |
dc.date.available | 2025-06-11T07:32:13Z | - |
dc.date.issued | 2025 | - |
dc.date.submitted | 2025-06-10T15:34:21Z | - |
dc.identifier.citation | Companion of the 2025 International Conference on Management of Data (SIGMOD-Companion ’25), June 22–27, 2025, Berlin, Germany, ACM, | - |
dc.identifier.isbn | 9798400715648 | - |
dc.identifier.uri | http://hdl.handle.net/1942/46128 | - |
dc.description.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. | - |
dc.language.iso | en | - |
dc.publisher | ACM | - |
dc.subject.other | Data streaming | - |
dc.subject.other | complex event recognition | - |
dc.title | CORE+: A Complex Event Recognition Engine in C++ | - |
dc.type | Proceedings Paper | - |
local.bibliographicCitation.conferencedate | 2025, June 22-27 | - |
local.bibliographicCitation.conferencename | International Conference on Management of Data (SIGMOD 2025) | - |
local.bibliographicCitation.conferenceplace | Berlin, Germany | - |
local.format.pages | 5 | - |
local.bibliographicCitation.jcat | C1 | - |
local.type.refereed | Refereed | - |
local.type.specified | Proceedings Paper | - |
local.bibliographicCitation.status | In press | - |
dc.identifier.doi | 10.1145/3722212.3725090 | - |
local.provider.type | - | |
local.bibliographicCitation.btitle | Companion of the 2025 International Conference on Management of Data (SIGMOD-Companion ’25), June 22–27, 2025, Berlin, Germany | - |
local.uhasselt.international | yes | - |
item.contributor | Bossonney, Kyle | - |
item.contributor | Buzeta, Nicolás | - |
item.contributor | Calisto, Vincente | - |
item.contributor | López, Juan-Eduardo | - |
item.contributor | Riveros, Cristian | - |
item.contributor | VANSUMMEREN, Stijn | - |
item.fullcitation | Bossonney, Kyle; Buzeta, Nicolás; Calisto, Vincente; López, Juan-Eduardo; Riveros, Cristian & VANSUMMEREN, Stijn (2025) CORE+: A Complex Event Recognition Engine in C++. In: Companion of the 2025 International Conference on Management of Data (SIGMOD-Companion ’25), June 22–27, 2025, Berlin, Germany, ACM,. | - |
item.fulltext | With Fulltext | - |
item.accessRights | Closed Access | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
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main.pdf Restricted Access | In press | 551.68 kB | Adobe PDF | View/Open Request a copy |
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