Conference paper

ZÁMEČNÍKOVÁ Eva and KRESLÍKOVÁ Jitka. Formalization of Business Rules in Decision Making Process. In: Work in Progress Session SEAA 2015 41st Euromicro Conference on Software Engineering and Advanced Application. Funchal, Madeira: Johannes Kepler University Linz, 2015, pp. 13-14. ISBN 978-3-902457-44-8.
Publication language:english
Original title:Formalization of Business Rules in Decision Making Process
Title (cs):Formalizace podnikových pravidel v rozhodovacím procesu
Pages:13-14
Proceedings:Work in Progress Session SEAA 2015 41st Euromicro Conference on Software Engineering and Advanced Application
Conference:41st Euromicro Conference on Software Engineering and Advanced Applications
Place:Funchal, Madeira, PT
Year:2015
ISBN:978-3-902457-44-8
Publisher:Johannes Kepler University Linz
Keywords
business rule; decision making; matrix grammar; regulated rewriting; high frequency data; prediction; XBRL
Annotation
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.
BibTeX:
@INPROCEEDINGS{
   author = {Eva Z{\'{a}}me{\v{c}}n{\'{i}}kov{\'{a}} and Jitka
	Kresl{\'{i}}kov{\'{a}}},
   title = {Formalization of Business Rules in Decision Making
	Process},
   pages = {13--14},
   booktitle = {Work in Progress Session SEAA 2015 41st Euromicro Conference
	on Software Engineering and Advanced Application},
   year = {2015},
   location = {Funchal, Madeira, PT},
   publisher = {Johannes Kepler University Linz},
   ISBN = {978-3-902457-44-8},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=10829}
}

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