• DocumentCode
    3060799
  • Title

    Data mining analysis of granular bed caking during hop extraction

  • Author

    Grzymala-Busse, Jerzy W. ; Hippe, Zdzislaw S. ; Mroczek, Teresa ; Roj, Edward ; Skowronski, Boleslaw

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Kansas Univ., Lawrence, KS, USA
  • fYear
    2005
  • fDate
    8-10 Sept. 2005
  • Firstpage
    426
  • Lastpage
    431
  • Abstract
    Our objective was to investigate an influence of some factors contributing to the bed caking tendency during the hop extraction process. It is important to keep the process free of bed caking since it prolongs extraction. In our research, three data sets describing the extraction process were used for knowledge discovery using rule induction and generation of belief networks. Experts analyzed discovered knowledge from the view point of potential applications. Finally, an error rate for all used methods was estimated using ten-fold cross validation.
  • Keywords
    belief networks; chemical engineering computing; chemical industry; data mining; belief network; data mining; granular bed caking analysis; hop extraction; knowledge discovery; rule generation; rule induction; ten-fold cross validation; Artificial intelligence; Data analysis; Data mining; Engineering management; Expert systems; Information management; Information technology; Petroleum; Solvents; Technology management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems Design and Applications, 2005. ISDA '05. Proceedings. 5th International Conference on
  • Print_ISBN
    0-7695-2286-6
  • Type

    conf

  • DOI
    10.1109/ISDA.2005.36
  • Filename
    1578822