Utilization of Data Mining Methods in Manufacturing Industry
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F21%3A10249132" target="_blank" >RIV/61989100:27360/21:10249132 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9454608" target="_blank" >https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9454608</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICCC51557.2021.9454608" target="_blank" >10.1109/ICCC51557.2021.9454608</a>
Alternative languages
Result language
angličtina
Original language name
Utilization of Data Mining Methods in Manufacturing Industry
Original language description
The paper presents data mining as a suitable tool for analyzing data from industrial processes. The data mining methods offer a wide range of uses in the current age of digitalization, big data processing and analysis. Apart from discovering patterns and detecting relationship between individual characteristics, assuring quality of products, prediction and optimization of process performance, data mining techniques also contribute to the transition from a reactive to a predictive approach in problem solving. The first part of the paper presents the possibilities of utilization of data mining methods and techniques to analyze data from industrial processes. The second part of the paper deals with a selection of proper data mining method and its practical application on data from manufacturing industry. (C) 2021 IEEE.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
50200 - Economics and Business
Result continuities
Project
<a href="/en/project/EF17_049%2F0008425" target="_blank" >EF17_049/0008425: A Research Platform focused on Industry 4.0 and Robotics in Ostrava Agglomeration</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
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2021 22nd International Carpathian Control Conference, ICCC 2021
ISBN
978-1-72818-609-2
ISSN
—
e-ISSN
—
Number of pages
6
Pages from-to
—
Publisher name
IEEE
Place of publication
Piscataway
Event location
Velké Karlovice
Event date
May 31, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—