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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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • 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

  • 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