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Incremental multilevel association rule mining of a dynamic database under a change of a minimum support threshold
Author(s)
Pumjun, Nophadon
Date Issued
January 1, 2016
Type
Conference Paper
Abstract
The proposed algorithm can efficiently deal with multilevel association rules mining of a dynamic database and a current support threshold can be different from the previous task. The experimental results show that the proposed algorithm has better performance than ML-T2 algorithm.
Citation
Lecture Notes in Electrical Engineering, 354, 87-94, 2016