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

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

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