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
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