Publication Details

Formalization of Business Rules in Decision Making Process

ZÁMEČNÍKOVÁ, E.; KRESLÍKOVÁ, J. Formalization of Business Rules in Decision Making Process. Work in Progress Session SEAA 2015 41st Euromicro Conference on Software Engineering and Advanced Application. Funchal, Madeira: Johannes Kepler University Linz, 2015. p. 13-14. ISBN: 978-3-902457-44-8.
Czech title
Formalizace podnikových pravidel v rozhodovacím procesu
Type
conference paper
Language
English
Authors
Zámečníková Eva, Ing., Ph.D.
Kreslíková Jitka, doc. RNDr., CSc. (DIFS)
Keywords

business rule; decision making; matrix grammar; regulated rewriting; high frequency data; prediction; XBRL

Abstract

In this paper we would like to discuss the processing of high frequency data and the way how the decision making can affect prediction of these data. At the input we have a set of data from multiple sources and from these data we extract behavioral patterns. Patterns can be described using business rules in machine readable format - we choose XBRL for its wide use in description of financial instruments and platform independency. We focus on the formalization of extracted rules by the rules of matrix grammar. Rules of these formal grammars and sequences of rules (matrices) let us control the flow of high frequency data and adapt its trend by the definition of restriction as the flow of data might be correlated by multiple criteria.

Published
2015
Pages
13–14
Proceedings
Work in Progress Session SEAA 2015 41st Euromicro Conference on Software Engineering and Advanced Application
ISBN
978-3-902457-44-8
Publisher
Johannes Kepler University Linz
Place
Funchal, Madeira
BibTeX
@inproceedings{BUT119805,
  author="Eva {Zámečníková} and Jitka {Kreslíková}",
  title="Formalization of Business Rules in Decision Making Process",
  booktitle="Work in Progress Session SEAA 2015 41st Euromicro Conference on Software Engineering and Advanced Application",
  year="2015",
  pages="13--14",
  publisher="Johannes Kepler University Linz",
  address="Funchal, Madeira",
  isbn="978-3-902457-44-8",
  url="https://www.fit.vut.cz/research/publication/10829/"
}
Back to top