Fifth International Conference on Hybrid Intelligent Systems (HIS'05) Data Mining Experiments on Hop Processing Data Rio de Janeiro, Brazil December 06-December 09 ISBN: 0-7695-2457-5
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICHIS.2005.32
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 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||