方法证据记录
Semi-supervised Association Rules
Semi-supervised association rule mining extends classical association rule learning by incorporating a small amount of labeled data alongside a larger unlabeled dataset. It uses known class information or user-provided constraints to guide the discovery of rules that are both statistically frequent and semantically meaningful, bridging unsupervised pattern mining with light supervision.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Semi-supervised Association Rule Mining
分类方法记录 · ml-model / machine-learning
- 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. · URL
- Association rule learning. Wikipedia. · URL
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