A Statistical-Heuristic Feature Selection Criterion for Decision Tree Induction
IEEE Transactions on Pattern Analysis and Machine Intelligence
Partial-order planning: evaluating possible efficiency gains
Artificial Intelligence
Artificial Intelligence - Special volume on planning and scheduling
Unifying instance-based and rule-based induction
Machine Learning
Estimating Software Project Effort Using Analogies
IEEE Transactions on Software Engineering
On the notion of similarity in case based reasoning and fuzzy theory
Soft computing in case based reasoning
An Empirical Study of Analogy-based Software Effort Estimation
Empirical Software Engineering
A Simulation Tool for Efficient Analogy Based Cost Estimation
Empirical Software Engineering
Machine Learning
Case-Based Design for Tablet Formulation
EWCBR '98 Proceedings of the 4th European Workshop on Advances in Case-Based Reasoning
A Support System Based on CBR for the Design of Rubber Compounds in Motor Racing
EWCBR '00 Proceedings of the 5th European Workshop on Advances in Case-Based Reasoning
Learning to Adapt for Case-Based Design
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
The Adaption Knowledge Bottleneck: How to Ease it by Learning from Cases
ICCBR '97 Proceedings of the Second International Conference on Case-Based Reasoning Research and Development
Case reusing systems — survey, framework and guidelines
The Knowledge Engineering Review
A new hybrid case-based architecture for medical diagnosis
Information Sciences—Informatics and Computer Science: An International Journal
Methods of case adaptation: A survey: Research Articles
International Journal of Intelligent Systems
Retrieval, reuse, revision and retention in case-based reasoning
The Knowledge Engineering Review
Learning adaptation knowledge to improve case-based reasoning
Artificial Intelligence
Application of support vector machines to corporate credit rating prediction
Expert Systems with Applications: An International Journal
A fuzzy CBR technique for generating product ideas
Expert Systems with Applications: An International Journal
A fuzzy case-based reasoning model for sales forecasting in print circuit board industries
Expert Systems with Applications: An International Journal
A hybrid case adaptation approach for case-based reasoning
Applied Intelligence
An execution time planner for the ARTIS agent architecture
Engineering Applications of Artificial Intelligence
Expert Systems with Applications: An International Journal
Predicting financial activity with evolutionary fuzzy case-based reasoning
Expert Systems with Applications: An International Journal
Financial distress prediction based on OR-CBR in the principle of k-nearest neighbors
Expert Systems with Applications: An International Journal
Fuzzy case-based reasoning for facial expression recognition
Fuzzy Sets and Systems
Gaussian case-based reasoning for business failure prediction with empirical data in China
Information Sciences: an International Journal
Fuzzy case-based reasoning for coping with construction disputes
Expert Systems with Applications: An International Journal
Price information evaluation and prediction for broiler using adapted case-based reasoning approach
Expert Systems with Applications: An International Journal
Bayesian Network Models for Web Effort Prediction: A Comparative Study
IEEE Transactions on Software Engineering
Majority voting combination of multiple case-based reasoning for financial distress prediction
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A neural network with a case based dynamic window for stock trading prediction
Expert Systems with Applications: An International Journal
An ontological Proxy Agent with prediction, CBR, and RBR techniques for fast query processing
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Application of a hybrid case-based reasoning approach in electroplating industry
Expert Systems with Applications: An International Journal
CBR methodology application in an expert system for aided design ship's engine room automation
Expert Systems with Applications: An International Journal
Adaptation knowledge from the case base
AI'07 Proceedings of the 20th Australian joint conference on Advances in artificial intelligence
Expert Systems with Applications: An International Journal
Acquiring case adaptation knowledge: a hybrid approach
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Expert Systems with Applications: An International Journal
Case adaptation by segment replanning for case-based planning systems
ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development
Expert Systems with Applications: An International Journal
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An adaptation phase is crucial for a good and reasonable case-based design (CBD) process, which is responsible for finding a solution to solve a new problem in the principle of k-nearest neighbors (k-NN). Statistical adaptation method is a classical method for feature-based case adaptation (FCA) because of its domain-independent and easily to be implemented, but with low adaptation accuracy. Therefore, this paper presents a new adaptation method for solution feature values of retrieved cases by introducing the adaptability value to improve the adaptation performance, called as adaptability-based FCA (AFCA). Unlike the classical statistical FCA method (SFCA) based on similarity or distance value, AFCA is performed in terms of the adaptability of old solution feature calculated by the adaptability measurement (AM) mechanism. A new AM method is studied as well in this paper, where the adaptability value for each solution feature is computed by utilizing the decision tree technique and similarity value, and the similarity is derived from the multi-algorithm-oriented hybrid SM strategy. Furthermore, to validate the feasibility and superiority of AFCA, the proposed method was applied to the power transformer design and was compared with the classical SFCAs. Empirical comparison results indicated that AFCA achieves the better adaptation performance under k-NN than other SFCAs on the basis of the adaptation accuracy.