EM-OLAP Framework - Econometric Model Transformation Method for OLAP Design in Intelligence Systems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F18%3A76398" target="_blank" >RIV/60460709:41110/18:76398 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/article/10.1007%2Fs12599-018-0533-5" target="_blank" >https://link.springer.com/article/10.1007%2Fs12599-018-0533-5</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s12599-018-0533-5" target="_blank" >10.1007/s12599-018-0533-5</a>
Alternative languages
Result language
čeština
Original language name
EM-OLAP Framework - Econometric Model Transformation Method for OLAP Design in Intelligence Systems
Original language description
Econometrics is currently one of the most popular approaches to economic analysis. To better support advances in these areas as much as possible, it is necessary to apply econometric problems to econometric intelligent systems. The article describes an econometric OLAP framework that supports the design of a multidimensional database to secure econometric analyses to increase the effectiveness of the development of econometric intelligent systems. The first part of the article consists of the creation of formal rules for the new transformation of the econometric model (TEM) method for the econometric model transformation of multidimensional schema through the use of mathematical notation. In the proposed TEM method, the authors pay attention to the measurement of quality and understandability of the multidimensional schema, and compare the proposed method with the original TEM-CM method. In the second part of the article, the authors create a multidimensional database prototype according to the new T
Czech name
EM-OLAP Framework - Econometric Model Transformation Method for OLAP Design in Intelligence Systems
Czech description
Econometrics is currently one of the most popular approaches to economic analysis. To better support advances in these areas as much as possible, it is necessary to apply econometric problems to econometric intelligent systems. The article describes an econometric OLAP framework that supports the design of a multidimensional database to secure econometric analyses to increase the effectiveness of the development of econometric intelligent systems. The first part of the article consists of the creation of formal rules for the new transformation of the econometric model (TEM) method for the econometric model transformation of multidimensional schema through the use of mathematical notation. In the proposed TEM method, the authors pay attention to the measurement of quality and understandability of the multidimensional schema, and compare the proposed method with the original TEM-CM method. In the second part of the article, the authors create a multidimensional database prototype according to the new T
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
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)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Business & Information Systems Engineering
ISSN
1867-0202
e-ISSN
1867-0202
Volume of the periodical
60
Issue of the periodical within the volume
6
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
20
Pages from-to
543-562
UT code for WoS article
000451062700007
EID of the result in the Scopus database
2-s2.0-85058123746