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Algoritma Ensemble Apriori

Algoritma Ensemble Apriori menerapkan prinsip ensemble pada penambang pola-sering (frequent-pattern) Apriori klasik dengan menjalankan beberapa instance Apriori pada partisi data atau pengaturan parameter yang berbeda dan menggabungkan set aturan mereka. Pendekatan ini meningkatkan cakupan, mengurangi sensitivitas terhadap ambang batas dukungan minimum, dan menskalakan penambangan aturan asosiasi ke dataset transaksional yang lebih besar.

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Sumber

  1. Agrawal, R. & Srikant, R. (1994). Fast algorithms for mining association rules. Proceedings of the 20th International Conference on Very Large Data Bases (VLDB), 1215, 487–499. link
  2. Apriori algorithm. Wikipedia. link

Cara menyitasi halaman ini

ScholarGate. (2026, June 3). Ensemble Apriori Algorithm (Ensemble-Based Frequent Pattern and Association Rule Mining). ScholarGate. https://scholargate.app/id/machine-learning/ensemble-apriori-algorithm

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ScholarGateEnsemble Apriori Algorithm (Ensemble Apriori Algorithm (Ensemble-Based Frequent Pattern and Association Rule Mining)). Diakses 2026-06-15 dari https://scholargate.app/id/machine-learning/ensemble-apriori-algorithm · Set data: https://doi.org/10.5281/zenodo.20539026