Case-based reasoning : a concise introduction
Presents a concise introduction to case-based reasoning, providing the essential building blocks for the design of case-based reasoning systems, as well as bringing together the main research lines in this field to encourage students to solve current CBR challenges.
1 online resource (xv, 87 pages) : illustrations
9781627050081, 9783031015625, 1627050086, 3031015622
844074622
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