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Bat4CEP: a bat algorithm for mining of complex event processing rules

  • Complex Event Processing (CEP) is a modern software technology for the dynamic analysis of continuous data streams. CEP is able of searching extremely large data streams in real time for the presence of event patterns. So far, specifying event patterns of CEP rules is still a manual task based on the expertise of domain experts. This paper presents a novel batinspired swarm algorithm for automatically mining CEP rule patterns that express the relevant causal and temporal relations hidden in data streams. The basic suitability and performance of the approach is proven by extensive evaluation with both synthetically generated data and real data from the traffic domain.

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Metadaten
Author:Ralf BrunsORCiDGND, Jürgen DunkelORCiDGND
URN:urn:nbn:de:bsz:960-opus4-22247
DOI:https://doi.org/10.25968/opus-2224
DOI original:https://doi.org/10.1007/s10489-022-03256-2
ISSN:0924-669X
Parent Title (English):Applied intelligence
Document Type:Article
Language:English
Year of Completion:2022
Publishing Institution:Hochschule Hannover
Release Date:2022/03/21
Tag:Bat algorithm; Complex event processing; Rule learning; Swarm algorithm
Institutes:Fakultät IV - Wirtschaft und Informatik
DDC classes:004 Informatik
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International