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 th...

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Bibliographic Details
Published inApplied intelligence (Dordrecht, Netherlands) Vol. 52; no. 13; pp. 15143 - 15163
Main Authors Bruns, Ralf, Dunkel, Jürgen
Format Journal Article
LanguageEnglish
Published New York Springer US 01.10.2022
Springer Nature B.V
Subjects
Algorithms
Artificial Intelligence
Computer Science
Data mining
Data transmission
Domains
Machines
Manufacturing
Mechanical Engineering
Processes
Software
Subject specialists
Rule learning
Bat algorithm
Swarm algorithm
Complex event processing
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Summary: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 bat-inspired 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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ISSN:0924-669X
1573-7497
DOI:10.1007/s10489-022-03256-2