Utilization of Data Mining Methods in Manufacturing Industry

被引:0
作者
Tyleckova, Eva [1 ]
Noskievicova, Darja [1 ]
机构
[1] VSB Tech Univ Ostrava, Dept Qual Management, Ostrava, Czech Republic
来源
2021 22ND INTERNATIONAL CARPATHIAN CONTROL CONFERENCE (ICCC) | 2021年
关键词
data mining; manufacturing; quality; ASSOCIATION RULE; FAULT-DIAGNOSIS;
D O I
10.1109/ICCC51557.2021.9454608
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:284 / 289
页数:6
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