Skip to Main content Skip to Navigation
Conference papers

Application of Data Mining in Manufacturing Quality Data

Abstract : Knowledge on product quality is one of the most important knowledge sources throughout the product lifecycle for the efficiency and effectiveness of product design decisions. To provide quality related knowledge, this paper proposed one data mining based knowledge discovery approach. This approach can extract knowledge on product quality from large volume of quality related manufacturing data. The effectiveness of this approach is illustrated and validated by an example adapted from literature. Finally, some conclusions and future works are discussed.
Document type :
Conference papers
Complete list of metadatas

https://hal-utt.archives-ouvertes.fr/hal-02548611
Contributor : Daniel Gavrysiak <>
Submitted on : Monday, April 20, 2020 - 5:53:11 PM
Last modification on : Tuesday, April 21, 2020 - 1:50:18 AM

Identifiers

Collections

Citation

Keqin Wang, Shurong Tong, Benoît Eynard, Lionel Roucoules, Nada Matta. Application of Data Mining in Manufacturing Quality Data. 2007 International Conference on Wireless Communications, Networking and Mobile Computing, Sep 2007, Shanghai, China. pp.5377-5380, ⟨10.1109/WICOM.2007.1318⟩. ⟨hal-02548611⟩

Share

Metrics

Record views

21