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Data Cube-Based Decision-Tree Induction

  • Integration of generalization with decision-tree induction (Kamber et al.’97)
  • Classification at primitive concept levels
    • E.g., precise temperature, humidity, outlook, etc.
    • Low-level concepts, scattered classes, bushy classification-trees
    • Semantic interpretation problems
  • Cube-based multi-level classification
    • Relevance analysis at multi-levels
    • Information-gain analysis with dimension + level

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