Table of Contents:
  • 1. Introduction
  • 1.1 CBR systems taxonomy
  • 1.2 Foundational issues
  • 1.3 Related fields
  • 1.4 Bibliographic notes
  • 2. The case-base
  • 2.1 Vocabulary
  • 2.2 Case modeling
  • 2.2.1 Problem description
  • 2.2.2 Solution description
  • 2.2.3 Outcome
  • 2.3 Case-base organization
  • 2.4 Bibliographic notes
  • 3. Reasoning and decision making
  • 3.1 Retrieve
  • 3.1.1 Similarity assessment
  • 3.1.2 Ranking and selection
  • 3.1.3 Normalization, discretization, and missing data
  • 3.2 Reuse
  • 3.2.1 Solution copy
  • 3.2.2 Solution adaptation
  • 3.2.3 Specific purpose methods
  • 3.3 Revise
  • 3.4 Bibliographic notes
  • 4. Learning
  • 4.1 Similarity learning
  • 4.1.1 Measure learning
  • 4.1.2 Feature relevance learning
  • 4.2 Maintenance
  • 4.2.1 Retain
  • 4.2.2 Review
  • 4.2.3 Restore
  • 4.3 Bibliographic notes
  • 5. Formal aspects
  • 5.1 Description logics
  • 5.2 Bayesian model
  • 5.3 Fuzzy set formalization
  • 5.4 Probabilistic formalization
  • 5.5 Case-based decisions
  • 5.6 Bibliographic notes
  • 6. Summary and beyond
  • 6.1 Explanations
  • 6.2 Provenance
  • 6.3 Distributed approaches
  • 6.4 Bibliographic notes
  • Bibliography
  • Author's biography.