Introduction to Knowledge Discovery in Data Process in Context of Industry 4.0
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F25840886%3A_____%2F22%3AN0000027" target="_blank" >RIV/25840886:_____/22:N0000027 - isvavai.cz</a>
Result on the web
<a href="https://www.narodacek.cz/wp-content/uploads/2023/01/08_Fridrich.pdf" target="_blank" >https://www.narodacek.cz/wp-content/uploads/2023/01/08_Fridrich.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Introduction to Knowledge Discovery in Data Process in Context of Industry 4.0
Original language description
This article aims to describe the KDD process, or Knowledge discovery in data, and to present some of the available software tools for this process in connection with Industry 4.0. Methods used to interpret the results in this article include research of professional sources, analysis and synthesis of acquired knowledge, and inductive and deductive approaches. In various branches of the economy, whether it is business economics or macroeconomics, we encounter an ever-increasing amount of generated data. This data can be very useful, as information can be drawn from it, which can then be used to optimize processes that lead to strengthening competitiveness in today's very turbulent market. The more data is created, the more it can cause complications in their identification. Errors also often occur during data generation, due to which the data is not uniform. The results of this work will include a description of the eight important steps of the KDD process.
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
50203 - Industrial relations
Result continuities
Project
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Continuities
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Others
Publication year
2022
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 Scientific Conference ECONOMIC POLICY: Post-Pandemic Challenges and Opportunities of the Czech and European Policy
ISBN
978-80-87291-32-0
ISSN
2788-2012
e-ISSN
2788-2020
Number of pages
12
Pages from-to
87-98
Publisher name
Vysoká škola PRIGO
Place of publication
Ostrava
Event location
Čeladná
Event date
Sep 6, 2022
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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