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Mining Multi-Dimensional Association
- Single-dimensional rules:
- buys(X, “milk”) ⇒ buys(X, “bread”)
- Multi-dimensional rules: ≥ 2 dimensions or predicates
- Inter-dimension assoc. rules (no repeated predicates)
- age(X,”19-25”) ∧ occupation(X,“student”) ⇒ buys(X, “coke”)
- hybrid-dimension assoc. rules (repeated predicates)
- age(X,”19-25”) ∧ buys(X, “popcorn”) ⇒ buys(X, “coke”)
- Categorical Attributes: finite number of possible values, no ordering among values—data cube approach
- Quantitative Attributes: Numeric, implicit ordering among values—discretization, clustering, and gradient approaches
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