| Description |
1 online resource : illustrations |
| Series |
Engineering tools, techniques and tables |
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Engineering tools, techniques and tables.
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| Contents |
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 |
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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 |
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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 |
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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) |
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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 |
| Bibliography |
Includes bibliographical references and index |
| Notes |
English |
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Print version record |
| Subject |
Case-based reasoning.
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PSYCHOLOGY -- Cognitive Psychology.
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SCIENCE -- Cognitive Science.
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Case-based reasoning
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| Form |
Electronic book
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| Author |
Leeland, Antonia M.
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| LC no. |
2010025433 |
| ISBN |
9781617288142 |
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1617288144 |
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