方法证据记录
Ensemble Apriori Algorithm
The Ensemble Apriori Algorithm applies ensemble principles to the classic Apriori frequent-pattern miner by running multiple Apriori instances on different data partitions or parameter settings and merging their rule sets. This approach improves coverage, reduces sensitivity to the minimum-support threshold, and scales association rule mining to larger transactional datasets.
源记录
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Ensemble Apriori Algorithm (Ensemble-Based Frequent Pattern and Association Rule Mining)
分类方法记录 · ml-model / machine-learning
- 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. · URL
- Apriori algorithm. Wikipedia. · URL
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