Applying ETL Fuzzy Filter for Data Warehouse Size Minimization
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F15%3AA1601EG2" target="_blank" >RIV/61988987:17310/15:A1601EG2 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Applying ETL Fuzzy Filter for Data Warehouse Size Minimization
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 and discusses possibilities to tune up the process. First part introduces common company systems and possible data sources in the company. Second part states the problem with interpreting information in BI systems and explains a data representation in the BI systems. Third part of the paper defines a rule base and input and output values of the 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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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2014 (ICNAAM-2014)
ISBN
978-0-7354-1287-3
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
5500035-5500039
Publisher name
AMER INST PHYSICS
Place of publication
MELVILLE, NY 11747-4501 USA
Event location
Rhodes, Greece
Event date
Sep 22, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000355339703044