Formalization of Business Rules in Decision Making Process
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F15%3APU116948" target="_blank" >RIV/00216305:26230/15:PU116948 - isvavai.cz</a>
Result on the web
<a href="http://www.fit.vutbr.cz/research/pubs/all.php?id=10829" target="_blank" >http://www.fit.vutbr.cz/research/pubs/all.php?id=10829</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Formalization of Business Rules in Decision Making Process
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Work in Progress Session SEAA 2015 41st Euromicro Conference on Software Engineering and Advanced Application
ISBN
978-3-902457-44-8
ISSN
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e-ISSN
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Number of pages
2
Pages from-to
13-14
Publisher name
Johannes Kepler University Linz
Place of publication
Funchal, Madeira
Event location
Funchal, Madeira
Event date
Aug 26, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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