Data mining experiments on hop processing data

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 kn...

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Bibliographic Details
Main Authors: Grzymala-Busse, J.W., Hippe, Z.S., Mroczek, T., Roj, E., Skowronski, B.
Format: Conference Proceeding
Language:English
Subjects:
Artificial intelligence
Computer network management
Data mining
Electrical resistance measurement
Engineering management
Expert systems
Fertilizers
Information management
Information technology
Technology management
Online Access:Request full text
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Summary: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.
DOI:10.1109/ICHIS.2005.32