SDFP-Growth Algorithm as a Novelty of Association Rule Mining Optimization

An essential element of association rules is the strong confidence values that depend on the support value threshold, which determines the optimum number of datasets. The existing method for determining the support value threshold is carried out manually by trial and error; the user determines a sup...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Boby Siswanto, Haryono Soeparno, Nesti Fronika Sianipar, Widodo Budiharto
Format:	Article
Language:	English
Published:	IEEE 2024-01-01
Subjects:	Association rule mining SDFP-growth algorithm dimensionality reduction optimization FP-tree pruning
Online Access:	https://ieeexplore.ieee.org/document/10418933/