Job shop scheduling for missed due-date performance
Computers and Industrial Engineering
A case-based approach using inductive indexing for corporate bond rating
Decision Support Systems - Decision-making and E-commerce systems
Computer simulation of due-date setting in multi-machine job shops
Computers and Industrial Engineering
Inside Case-Based Reasoning
Inductive Learning for Risk Classification
IEEE Expert: Intelligent Systems and Their Applications
Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
A Case-Based Reasoning Approach for Due-Date Assignment in a Wafer Fabrication Factory
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Integrating Rule Induction and Case-Based Reasoning to Enhance Problem Solving
ICCBR '97 Proceedings of the Second International Conference on Case-Based Reasoning Research and Development
Estimating Software Development Effort with Case-Based Reasoning
ICCBR '97 Proceedings of the Second International Conference on Case-Based Reasoning Research and Development
Machine Learning and Its Applications, Advanced Lectures
Extracting symbolic rules from trained neural network ensembles
AI Communications - Special issue on Artificial intelligence advances in China
Foundations of Soft Case-Based Reasoning
Foundations of Soft Case-Based Reasoning
Knowledge and Information Systems
Data Mining for Case-Based Reasoning in High-Dimensional Biological Domains
IEEE Transactions on Knowledge and Data Engineering
Gaussian case-based reasoning for business failure prediction with empirical data in China
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
Loss and gain functions for CBR retrieval
Information Sciences: an International Journal
Multi-agent neural business control system
Information Sciences: an International Journal
A forecasting solution to the oil spill problem based on a hybrid intelligent system
Information Sciences: an International Journal
Application of hybrid case-based reasoning for enhanced performance in bankruptcy prediction
Information Sciences: an International Journal
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Case-based reasoning (CBR) solves new problems by recalling and reusing the solutions to similar problems. Despite its popularity and simplicity, relatively little work has been done to improve CBR for numeric prediction. To predict numeric values accurately and efficiently, this paper develops a novel case indexing approach and a simple attribute weighting method for CBR. This study evaluates the proposed CBR system using nine well-known data sets, showing that it achieves better efficiency and accuracy than conventional CBR. This study also applies the proposed CBR system to solve the due date assignment (DDA) problem in a dynamic wafer fabrication factory to determine if it's expected benefits can be observed in practice. Experimental results show that the proposed CBR system significantly improves job due date prediction.