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Pattern Recognition Letters
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Introduction to the theory of neural computation
C4.5: programs for machine learning
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Case-based reasoning
Discretisation in Lazy Learning Algorithms
Artificial Intelligence Review - Special issue on lazy learning
Control-Sensitive Feature Selection for Lazy Learners
Artificial Intelligence Review - Special issue on lazy learning
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Using Feature Construction to Improve the Performance of Neural Networks
Management Science
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Decision Support Systems
Genetic Algorithms and Investment Strategies
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Neural Networks in Finance and Investing: Using Artificial Intelligence to Improve Real World Performance
Feature Subset Selection Using a Genetic Algorithm
IEEE Intelligent Systems
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IEEE Intelligent Systems
Improving Minority Class Prediction Using Case-Specific Feature Weights
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Forming Categories in Exploratory Data Analysis and Data Mining
IDA '97 Proceedings of the Second International Symposium on Advances in Intelligent Data Analysis, Reasoning about Data
ICTAI '00 Proceedings of the 12th IEEE International Conference on Tools with Artificial Intelligence
Hybrid learning using genetic algorithms and decision trees for pattern classification
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Expert Systems with Applications: An International Journal
A recommender system using GA K-means clustering in an online shopping market
Expert Systems with Applications: An International Journal
Global optimization of case-based reasoning for breast cytology diagnosis
Expert Systems with Applications: An International Journal
Majority voting combination of multiple case-based reasoning for financial distress prediction
Expert Systems with Applications: An International Journal
Combinations of case-based reasoning with other intelligent methods
International Journal of Hybrid Intelligent Systems - CIMA-08
Review: Using support vector machines in diagnoses of urological dysfunctions
Expert Systems with Applications: An International Journal
PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
Expert Systems with Applications: An International Journal
Cost-sensitive case-based reasoning using a genetic algorithm: Application to medical diagnosis
Artificial Intelligence in Medicine
Expert Systems with Applications: An International Journal
Global optimization of support vector machines using genetic algorithms for bankruptcy prediction
ICONIP'06 Proceedings of the 13th international conference on Neural information processing - Volume Part III
AIS'04 Proceedings of the 13th international conference on AI, Simulation, and Planning in High Autonomy Systems
Toward global optimization of ANN supported by instance selection for financial forecasting
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
Collaborative Filtering with a User-Item Matrix Reduction Technique
International Journal of Electronic Commerce
Case learning for CBR-based collision avoidance systems
Applied Intelligence
A case-based reasoning model that uses preference theory functions for credit scoring
Expert Systems with Applications: An International Journal
Information Systems Frontiers
Engineering Applications of Artificial Intelligence
Trend forecasting of financial time series using PIPs detection and continuous HMM
Intelligent Data Analysis
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This paper presents a simultaneous optimization method of a case-based reasoning (CBR) system using a genetic algorithm (GA) for financial forecasting. Prior research proposed many hybrid models of CBR and the GA for selecting a relevant feature subset or optimizing feature weights. Most research used the GA for improving only a part of architectural factors of the CBR model. However, the performance of the CBR model may be enhanced when these factors are simultaneously considered. In this study, the GA simultaneously optimizes multiple factors of the CBR system. Experimental results show that a GA approach to simultaneous optimization of the CBR model outperforms other conventional approaches for financial forecasting.