Machine learningMachine learning
半监督FP-growth
半监督FP-growth通过整合部分标签、用户定义的约束或类别级信息来指导频繁项集发现，从而扩展了经典的频繁模式增长算法。它不盲目挖掘所有模式，而是专注于在可用监督信号的指导下，既统计上频繁又在语义上有意义的模式。
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来源
- Han, J., Pei, J., & Yin, Y. (2000). Mining frequent patterns without candidate generation. Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data, 1–12. DOI: 10.1145/342009.335372 ↗
- FP-growth algorithm. Wikipedia. link ↗
如何引用本页
ScholarGate. (2026, June 3). Semi-supervised Frequent Pattern Growth. ScholarGate. https://scholargate.app/zh/machine-learning/semi-supervised-fp-growth
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