Concept of Econometric Intelligence System: OLAP Applications in the Ambient Intelligence Environment
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F18%3A73966" target="_blank" >RIV/60460709:41110/18:73966 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-67621-0_25" target="_blank" >http://dx.doi.org/10.1007/978-3-319-67621-0_25</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-67621-0_25" target="_blank" >10.1007/978-3-319-67621-0_25</a>
Alternative languages
Result language
angličtina
Original language name
Concept of Econometric Intelligence System: OLAP Applications in the Ambient Intelligence Environment
Original language description
Econometric analysis is a non-trivial discipline applied to different areas of an enterprise or economy, in order to express economic reality and anticipate economic phenomena. This requires a great deal of econometric knowledge using a number of sophisticated methods and their good capabilities for correct and high quality interpretation of results. Currently, the intelligent system is a solution that is capable of performing highly complex tasks in the same way as people approach these tasks. In the context of ambient intelligence, it is possible to use personalized, contextual awareness and adaptive attributes for the design of an intelligent econometric system. In our work, we focused on the concept of an intelligent econometric system together with the application of OLAP technology for the creation of interactive analytical outputs. This new concept of the system is presented in an example of a data analysis to derive the forecast from the econometric model by designing a multidimensional view
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
<a href="/en/project/GA15-11724S" target="_blank" >GA15-11724S: DEPIES - Decision Processes in Intelligent Environments</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Applied Computational Intelligence and Mathematical Methods: Proceedings of the Computational Methods in Systems and Software 2017
ISBN
978-3-319-67620-3
ISSN
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e-ISSN
2194-5365
Number of pages
8
Pages from-to
279-286
Publisher name
Springer International Publishing AG
Place of publication
Cham, Switzerland
Event location
online
Event date
Sep 12, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000440507200025