So sánh phương pháp

	Quy tắc kết hợp bán giám sát	Lan truyền nhãn
Lĩnh vực	Học máy	Học máy
Họ	Machine learning	Machine learning
Năm ra đời	2003–2010s	2002
Người khởi xướng	Liu, B.; Hsu, W.; Ma, Y. (and subsequent researchers)	Zhu, X. & Ghahramani, Z.
Loại	Pattern mining with partial supervision	Graph-based semi-supervised classification
Công trình gốc	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.	Zhu, X., & Ghahramani, Z. (2002). Learning from labeled and unlabeled data with label propagation. Technical Report CMU-CALD-02-107, Carnegie Mellon University.
Tên gọi khác	semi-supervised ARM, label-guided association rule mining, constrained association rule mining, semi-supervised pattern discovery	LP, label spreading, graph-based semi-supervised learning, harmonic label propagation
Liên quan	4	3
Tóm tắt	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.	Label Propagation is a graph-based semi-supervised learning algorithm introduced by Zhu and Ghahramani in 2002 that spreads class labels from a small set of labeled nodes to a large set of unlabeled nodes by iteratively diffusing label information along the edges of a similarity graph, exploiting the manifold structure of the data.