Measuring the interestingness of discovered knowledge: A principled approach
Author:
Affiliation:
1. Department of Computer Science, University of Regina, Regina, Saskatchewan, Canada S4S 0A2. E-mail: Robert.Hilderman@uregina.ca, Howard.Hamilton@uregina.ca
Publisher
IOS Press
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Theoretical Computer Science
Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
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4. Mining Undominated Association Rules Through Interestingness Measures;International Journal on Artificial Intelligence Tools;2014-08
5. DepMiner: A Method and a System for the Extraction of Significant Dependencies;Intelligent Systems Reference Library;2012
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