Learning of complex event processing rules with genetic programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7970
- @Article{BRUNS:2019:ESA,
-
author = "Ralf Bruns and Jurgen Dunkel and Norman Offel",
-
title = "Learning of complex event processing rules with
genetic programming",
-
journal = "Expert Systems with Applications",
-
volume = "129",
-
pages = "186--199",
-
year = "2019",
-
ISSN = "0957-4174",
-
DOI = "doi:10.1016/j.eswa.2019.04.007",
-
URL = "http://www.sciencedirect.com/science/article/pii/S0957417419302386",
-
keywords = "genetic algorithms, genetic programming, Complex event
processing, Rule learning, Pattern mining",
-
abstract = "Complex Event Processing (CEP) is an established
software technology to extract relevant information
from massive data streams. Currently, domain experts
have to determine manually CEP rules that define a
situation of interest. However, often CEP rules cannot
be formulated by experts, because the relevant
interdependencies and relations between the data are
not explicitly known, but inherently hidden in the data
streams. To cope with this problem, we present a new
learning approach for CEP rules, which is based on
Genetic Programming. We discuss in detail the different
building blocks of Genetic Programming and how to
adjust them to CEP rule learning. Extensive evaluations
with synthetic and real world data demonstrate the high
potential of the approach and give some hints about the
choice of suitable process parameters",
- }
Genetic Programming entries for
Ralf Bruns
Jurgen Dunkel
Norman Offel
Citations