Classification algorithms
Automatic knowledge base refinement for classification systems
Artificial Intelligence
International Journal of Man-Machine Studies - Special Issue: Knowledge Acquisition for Knowledge-based Systems. Part 5
Boolean Feature Discovery in Empirical Learning
Machine Learning
Maximizing the predictive value of production rules
Artificial Intelligence
A comparative study of ID3 and backpropagation for English text-to-speech mapping
Proceedings of the seventh international conference (1990) on Machine learning
Symbolic and Neural Learning Algorithms: An Experimental Comparison
Machine Learning
Automated learning of decision rules for text categorization
ACM Transactions on Information Systems (TOIS)
Machine Learning
Automated learning of decision rules for text categorization
ACM Transactions on Information Systems (TOIS)
Towards language independent automated learning of text categorization models
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Separate-and-Conquer Rule Learning
Artificial Intelligence Review
Classification and regression: money *can* grow on trees
KDD '99 Tutorial notes of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Use of Contextual Information for Feature Ranking and Discretization
IEEE Transactions on Knowledge and Data Engineering
Data Mining and Forecasting in Large-Scale Telecommunication Networks
IEEE Expert: Intelligent Systems and Their Applications
Decision-Rule Solutions for Data Mining with Missing Values
IBERAMIA-SBIA '00 Proceedings of the International Joint Conference, 7th Ibero-American Conference on AI: Advances in Artificial Intelligence
An Eager Regression Method Based on Best Feature Projections
Proceedings of the 14th International conference on Industrial and engineering applications of artificial intelligence and expert systems: engineering of intelligent systems
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
An overview of regression techniques for knowledge discovery
The Knowledge Engineering Review
Learning rules with negation for text categorization
Proceedings of the 2007 ACM symposium on Applied computing
An experimental evaluation of simplicity in rule learning
Artificial Intelligence
Rule-based machine learning methods for functional prediction
Journal of Artificial Intelligence Research
Classification inductive rule learning with negated features
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications: Part I
Effectiveness of document representation for classification
DaWaK'05 Proceedings of the 7th international conference on Data Warehousing and Knowledge Discovery
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Swap-1, a state-of-the-art system for learning decision rules from data, is presented. The method embodied in Swap-1 generates reduced-complexity solutions by inducing compact solutions in larger dimensions where many rules might be needed to make accurate predictions. For many applications, such systems can automatically construct relatively compact rule sets with highly predictive performance.