Data warehouse minimization with ELT fuzzy filter

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F14%3AA1501BNE" target="_blank" >RIV/61988987:17610/14:A1501BNE - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Data warehouse minimization with ELT fuzzy filter
Original language description
The paper proposes a new approach of data warehouse minimization by fuzzy-based ETL filter for ETL processes in business intelligence (BI) systems. First part introduces common company systems and possible data sources in the company. Second part statesthe problem with interpreting information in BI systems and explains a data representation in the BI systems. Third part of the paper identifies suitable linguistic variables that help with interpreting the data to the user and automated filter as well.We also define a rule base and input and output values of expert system. Last part of the paper proposes a two ways to minimize a data - modification border of the fuzzy set and omitting useless combinations of the linguistic variables and modifiers.
Czech name
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Czech description
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Project
<a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Advances in Information Science and Applications - Volume II
ISBN
978-1-61804-237-8
ISSN
1790-5109
e-ISSN
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Number of pages
5
Pages from-to
450-454
Publisher name
World Scientific and Engineering Academy and Society
Place of publication
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Event location
Santorini, Greece
Event date
Jul 17, 2014
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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