Design of Adaptive Business Rules Model for High Frequency Data Processing
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F14%3APU112024" target="_blank" >RIV/00216305:26230/14:PU112024 - isvavai.cz</a>
Result on the web
<a href="http://www.fit.vutbr.cz/research/pubs/all.php?id=10669" target="_blank" >http://www.fit.vutbr.cz/research/pubs/all.php?id=10669</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Design of Adaptive Business Rules Model for High Frequency Data Processing
Original language description
In this paper we would like to discuss high frequency data processing and the use of complex event platform in combination with business rules approach. For such a high volume of data, it is suitable to use complex event platform (CEP), because CEP allows for big data processing in real time. We would like to focus on improvement of decision making process under the condition of dynamical adaptation of the process on the fly. We will use pattern recognition for detecting and predicting the trends in data by mining this information from historical data. After the distinguishing patterns we will build the set of business rules according to which the process runs and we will control the process flow by defining the restrictions. We would like to use this model for building trading systems. Algorithmic trading applies complex event processing by calculating complex algorithms that indicate when to sell or buy based on real-time processing. Market data can be viewed as events. This data needs to be analyzed in real time in order to identify the trends in data and to react to these trends automatically. Traditional approach for detecting anomalies on stock market has been statistical analysis, but a CEP-based approach is able to react faster than the traditional approach.
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
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
ISAT Monograph Series
ISBN
978-83-7493-346-9
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
1-10
Publisher name
Wroclaw University of Technology
Place of publication
Szklarska Poręba
Event location
SZKLARSKA PORĘBA
Event date
Jul 21, 2014
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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