CBR components The CBR Library include components for: – Retrieval – Nearest Neighbor, Decision Tree indexing – Subsumption Mechanisms (perspectives) – Similarity – Feature similarity (numbers, ordered labels, …) – Structured cases similarity (SHAUD) – Aggregation (Weighted mean, euclidian, city-block, OWA, WOWA) – Reuse – Classification (Voting, selection criteria) – Configuration (Constructive Adaptation techniques) – Model Acquisition (Enabling) – Decision Tree induction – Weight models (gain, RLDM), numerical discretization – K-models
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