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Semi-supervised Association Rules/Evidence
Method evidence record

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.

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Semi-supervised Association Rule Mining
Taxonomic method record · 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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Related methods

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Taxonomic bucketApriori Algorithmmachine-suggested · Relational suggestion, not evidence.Same method familyFP-Growthmachine-suggested · Relational suggestion, not evidence.Same method familyLabel Propagationmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketSemi-supervised Learningmachine-suggested · Relational suggestion, not evidence.

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Sources

2 recorded citations, copied from the method source record.

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