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
Link To Document :
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