• DocumentCode
    707154
  • Title

    Using data mining methods for improvement of product and process quality

  • Author

    Estler, Manfred ; Hilpert, Ralf ; Kiupel, Niels ; Soravia, Sergio

  • Author_Institution
    Konzembereich Verfahrens- und Prozesstech., Degussa-Huls AG, Hanau, Germany
  • fYear
    1999
  • fDate
    Aug. 31 1999-Sept. 3 1999
  • Firstpage
    4824
  • Lastpage
    4829
  • Abstract
    Recently, data analysis methods have been successfully employed in various areas of industry. With their help analysts gain valuable information and knowledge about business and technical processes. In addition to established and proven statistical methods, new data analysis techniques hiding behind catchwords such as Data Mining, Knowledge Discovery in Databases, and Computational Intelligence are increasingly used. These new approaches are primarily characterized by their ability to find conspicuous patterns in databases almost on their own. In a particular way, they support the general goal to detect existing and possibly still hidden information in databases. In chemical industry the information obtained is mainly meant to support the design of products and production processes, as well as the development of intelligent process management strategies.
  • Keywords
    chemical engineering computing; data analysis; data mining; product quality; production engineering computing; statistical analysis; chemical industry; computational intelligence; data analysis methods; data mining methods; intelligent process management strategy; knowledge discovery in databases; process quality; product quality; statistical methods; Data analysis; Data mining; Databases; Product design; Quality assessment; Safety; Statistical analysis; Exploratory data analysis; data mining; data preprocessing; independence analysis; statistical methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ECC), 1999 European
  • Conference_Location
    Karlsruhe
  • Print_ISBN
    978-3-9524173-5-5
  • Type

    conf

  • Filename
    7100100