Concept of Econometric Intelligence System: OLAP Applications in the Ambient Intelligence Environment

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Concept of Econometric Intelligence System: OLAP Applications in the Ambient Intelligence Environment

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

Concept of Econometric Intelligence System: OLAP Applications in the Ambient Intelligence Environment

Popis výsledku anglicky

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

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/GA15-11724S" target="_blank" >GA15-11724S: DEPIES - Rozhodovací procesy v inteligentních prostředích</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Applied Computational Intelligence and Mathematical Methods: Proceedings of the Computational Methods in Systems and Software 2017

ISBN

978-3-319-67620-3

ISSN

—

e-ISSN

2194-5365

Počet stran výsledku

8

Strana od-do

279-286

Název nakladatele

Springer International Publishing AG

Místo vydání

Cham, Switzerland

Místo konání akce

online

Datum konání akce

12. 9. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000440507200025