Software Algorithm of EM-OLAP Tool: Design of OLAP Database for Econometric Application
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F19%3A79185" target="_blank" >RIV/60460709:41110/19:79185 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-030-19807-7_34" target="_blank" >http://dx.doi.org/10.1007/978-3-030-19807-7_34</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-19807-7_34" target="_blank" >10.1007/978-3-030-19807-7_34</a>
Alternative languages
Result language
angličtina
Original language name
Software Algorithm of EM-OLAP Tool: Design of OLAP Database for Econometric Application
Original language description
The in-field econometric analysis with specific OLAP technology is of benefit to non-econometric analysts for efficient analysis. Integration of the transformation of the econometric model (TEM) method with the software tool is useful for designing a multidimensional database. This research presents the design prototype of such software and its integration with an in-field TEM method to implement database specific for OLAP by a star schema. The prototype of the EM-OLAP Tool software was designed by a simple click-and-play menu using a graphical user interface and optimized to adapt the database design requirements. An algorithm for transformation of econometric models was developed to design a multidimensional schema of database according the TEM method.
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
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Software Engineering Methods in Intelligent Algorithms. CSOC 2019. Advances in Intelligent Systems and Computing, vol 984.
ISBN
978-3-030-19806-0
ISSN
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e-ISSN
2194-5365
Number of pages
9
Pages from-to
351-359
Publisher name
Springer Nature Switzerland AG
Place of publication
Cham
Event location
Online
Event date
Apr 25, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000503384000034