A Metric for Selection of the Most Promising Rules
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Data MiningCited by
Year 2000 : 2 citations
Brijs T., Vanhoof K., Wets G..- Reducing redundancy in characteristic rule discovery by using integer programming techniques.- In: Journal of intelligent data analysis, 4(2000), p. 229-240.
Yves Kodratoff. Comparing Machine Learning and Knowledge Discovery in DataBases : An Application to Knowledge Discovery in Texts. Text associated to a course delivered at the ECCAI summer course, Crete July 1999. Published by Springer-Verlag in the Lecture Notes on AI (LNAI) - Tutorials series, 2000.
Year 1999 : 1 citations
R. Hilderman and H. Hamilton. Knowledge discovery and interestingness measures: A survey. Technical Report CS 99-04, Department of Computer Science, University of Regina, October 1999.