Association Rules Mining in Manufacturing

Abstract:

In recent years, manufacturing processes have become more and more complex, manufacturing activities generate large quantities of data, so it is no longer practical to rely on traditional manual methods to analyze this data. Data mining offers tools for extracting knowledge from data, leading to significant improvement in the decision-making process. Association rules mining is one of the most important data mining techniques and has received considerable attention from researchers and practitioners. The paper presents the basic concept of association rule mining and reviews applications of association rules in manufacturing, including product design, manufacturing, process, customer relationship management, supply chain management, and product quality improvement. This paper is focused on demonstrating the relevancy of association rules mining to manufacturing industry, rather than discussing the association rules mining domain in general.

• Periodical: Applied Mechanics and Materials (Volumes 34-35)
• Pages: 651-654
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.34-35.651
• Online since: October 2010
• Authors: Jun Tan, Ying Yong Bu
• Keywords: Association Rule, Data Mining (DM), FP-Growth, Manufacturing

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