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Data Mining Experiments on Hop Processing Data
Rio de Janeiro, Brazil December 06-December 09
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICHIS.2005.32Fifth International Conference on Hyb ...
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Jerzy W. Grzymala-Busse, University of Kansas, Lawrence, KS
Zdzislaw S. Hippe, University of Information Technology and Management, Rzeszow, Poland
Teresa Mroczek, University of Information Technology and Management, Rzeszow, Poland
Edward Roj, Fertilizer Research Institute, Pulawy, Poland
Boleslaw Skowronski, Fertilizer Research Institute, Pulawy, Poland
This paper presents results on research conducted on three hop processing data sets using two data mining methods: rule induction and belief network generation. We briefly describe the hop processing and reasons for inconsistency in the corresponding data sets. Then we discuss the significance of knowledge in the form of rules acquired by both applied data mining methods. Finally, we present validation results for both methods.
Citation:
Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe, Teresa Mroczek, Edward Roj, Boleslaw Skowronski, "Data Mining Experiments on Hop Processing Data," his, pp.175-180, Fifth International Conference on Hybrid Intelligent Systems (HIS'05), 2005
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