Abstract
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 of the data.
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Acknowledgements
This work was conducted within the project DEPIES – Decision Processes in Intelligent Environments funded through the Czech Science Foundation, Czech Republic, Grant No. 15-11724S.
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Tyrychtr, J., Pelikán, M., Štiková, H., Vrana, I. (2018). Concept of Econometric Intelligence System: OLAP Applications in the Ambient Intelligence Environment. In: Silhavy, R., Silhavy, P., Prokopova, Z. (eds) Applied Computational Intelligence and Mathematical Methods. CoMeSySo 2017. Advances in Intelligent Systems and Computing, vol 662. Springer, Cham. https://doi.org/10.1007/978-3-319-67621-0_25
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DOI: https://doi.org/10.1007/978-3-319-67621-0_25
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