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半监督关联规则

半监督关联规则挖掘通过结合少量标记数据和大量未标记数据，扩展了经典的关联规则学习。它利用已知的类别信息或用户提供的约束来指导发现既统计频繁又具有语义意义的规则，从而将无监督模式挖掘与轻度监督相结合。

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半监督关联规则
Apriori算法FP-Growth (频繁模式增长)标签传播半监督学习主动学习关联规则贝叶斯关联规则在线关联规则

来源

  1. Liu, B., Hsu, W., & Ma, Y. (2003). Integrating Classification and Association Rule Mining. In Proceedings of the 4th IEEE International Conference on Data Mining (ICDM), pp. 339–346. link ↗
  2. Association rule learning. Wikipedia. link ↗

如何引用本页

ScholarGate. (2026, June 3). Semi-supervised Association Rule Mining. ScholarGate. https://scholargate.app/zh/machine-learning/semi-supervised-association-rules

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被引用于

主动学习关联规则贝叶斯关联规则在线关联规则

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ScholarGate — Semi-supervised Association Rules (Semi-supervised Association Rule Mining). 于 2026-06-15 检索自 https://scholargate.app/zh/machine-learning/semi-supervised-association-rules · 数据集： https://doi.org/10.5281/zenodo.20539026