Case-based reasoning : processes, suitability and applications /

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Leeland, Antonia M.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hauppauge, N.Y. : Nova Science Publishers, ©2011.
Colección:Engineering tools, techniques and tables.
Temas:
Case-based reasoning.
Raisonnement par cas.
PSYCHOLOGY > Cognitive Psychology.
SCIENCE > Cognitive Science.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • LIBRARY OF CONGRESS CATALOGING-IN-PUBLICATION DATA ; CASE-BASED REASONING: PROCESSES, SUITABILITY AND APPLICATIONS ; CONTENTS ; PREFACE ; CASE-BASED REASONING INTEGRATIONS: APPROACHES AND APPLICATIONS ; ABSTRACT ; 1. INTRODUCTION ; 2. TRENDS IN INTEGRATIONS OF CBR WITH OTHER INTELLIGENT METHODS ; 3. REPRESENTATIVE SYSTEMS ; 3.1 Sequential Processing Approaches ; 3.1.1 Loosely coupled sequence ; 3.1.2 Tightly coupled sequence ; 3.2. Co-processing Approaches ; 3.2.1 Cooperation oriented ; 3.2.1.1 Explicit reasoning control ; 3.2.1.2 Implicit reasoning control.
  • 3.2.2 Reconciliation oriented 3.3 Embedded Processing ; 4. COMBINATION OF CBR WITH NEURULES ; 4.1 Syntax and Semantics ; 4.2 Indexing and Hybrid Inference ; CONCLUSIONS ; REFERENCES ; APPLYING IMPROVED CASE INDEXING AND RETRIEVING USING EX-POST INFORMATION IN CORPORATE BANKRUPTCY PREDICTION ; ABSTRACT ; INTRODUCTION ; LITERATURE REVIEW ; Distance Metric ; 1. Linear distance metrics ; 2. Value difference metric ; Feature selection & determining number of cases ; Weighting features ; PROPOSED MODEL ; RESEARCH DATA AND EXPERIMENTS ; Step 1. Selecting Observation Firm Set.
  • Step 2. Categorizing Financial Dimensions Step 3. Identifying and Obtaining Candidate Financial Ratios ; Step 4. Selecting Final Financial Ratios ; Step 5. Calculating Efficiencies Using DEA for the Data Set ; Step 6. Determining Case Base ; Step 7. Dividing Experiment Sets ; Step 8. Calculating Feature Weights ; Step 9. Measuring Similarity ; Step 10. Updating Case Base ; RESULT AND ANALYSIS ; Experiment 1 ; Experiment 2 ; Unsupervised vs. Supervised ; CONCLUSION ; REFERENCES ; CASE-BASED REASONING: HISTORY, METHODOLOGY AND DEVELOPMENT TRENDS ; ABSTRACT ; INTRODUCTION ; HISTORY OF CBR.
  • THE STEPS OF THE CBR PROCESS MAIN TYPES OF CBR METHODS ; Case-Based Reasoning ; Analogy-Based Reasoning ; Exemplar-Based Reasoning ; Instance-Based Reasoning ; Memory-Based Reasoning ; 5. TOOLS AND APPLICATIONS OF CBR ; 6. DEVELOPMENT TRENDS OF CBR METHODS AND APPLICATIONS ; CONCLUSION ; REFERENCES ; A TEMPORAL CASE-BASED PROCEDURE FOR CANCELLATION FORECASTING: A CASE STUDY ; ABSTRACT ; 1. INTRODUCTION ; 2. CANCELLATION CURVES ; 2.1. Canceling Patterns before Departure ; 2.2. Cancellation Patterns at Departure ; 3. MODELS ; 3.1. Case-Based Predicting Model (CBP).
  • 3.1.1. Similarity evaluation 3.1.2. Sample selection ; 3.1.3. Prediction generation ; 3.1.4. Parameter search ; 3.2. Regression Models ; 3.3. Pick up Models ; 4. EMPIRICAL STUDY ; 4.1. The Best Number of Selection ; 4.2. Comparison with a Naïve CBP Variant ; 4.3. Comparison with Four Benchmarks ; 4.4. Distributions of the Estimated Parameters ; CONCLUSION ; ACKNOWLEDGMENT ; REFERENCES ; PROVISION OF SAFETY FOR TECHNOLOGICAL SYSTEMS WITH THE AID OF CASE-BASED REASONING ; ABSTRACT ; 1. INTRODUCTION ; 2. CONCEPTUALIZATION OF DATA AND KNOWLEDGE ; 3. THE CASE-BASED APPROACH.

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