Separate-and-Conquer Rule Learning
Artificial Intelligence Review
SBIA '96 Proceedings of the 13th Brazilian Symposium on Artificial Intelligence: Advances in Artificial Intelligence
Generating Rule Sets from Model Trees
AI '99 Proceedings of the 12th Australian Joint Conference on Artificial Intelligence: Advanced Topics in Artificial Intelligence
Fast Discovery of Representative Association Rules
RSCTC '98 Proceedings of the First International Conference on Rough Sets and Current Trends in Computing
Data mining based on rough sets
Data mining
The AQ21 Natural Induction Program for Pattern Discovery: Initial Version and its Novel Features
ICTAI '06 Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence
Statistical Comparisons of Classifiers over Multiple Data Sets
The Journal of Machine Learning Research
Mining Pareto-optimal rules with respect to support and confirmation or support and anti-support
Engineering Applications of Artificial Intelligence
Rule quality for multiple-rule classifier: Empirical expertise and theoretical methodology
Intelligent Data Analysis
PRIE: a system for generating rulelists to maximize ROC performance
Data Mining and Knowledge Discovery
Solving Regression by Learning an Ensemble of Decision Rules
ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
On the quest for optimal rule learning heuristics
Machine Learning
Data Mining: Practical Machine Learning Tools and Techniques
Data Mining: Practical Machine Learning Tools and Techniques
Data-driven adaptive selection of rules quality measures for improving the rules induction algorithm
RSFDGrC'11 Proceedings of the 13th international conference on Rough sets, fuzzy sets, data mining and granular computing
Decision rule-based data models using TRS and NetTRS – methods and algorithms
Transactions on Rough Sets XI
Rule quality measures in creation and reduction of data rule models
RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
Learning predictive clustering rules
KDID'05 Proceedings of the 4th international conference on Knowledge Discovery in Inductive Databases
Heuristic rule-based regression via dynamic reduction to classification
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
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This paper presents the algorithm for induction of unordered sets of regression rules. It uses sequential covering strategy and dynamic reduction to classification approach. The main focus is put on quality measures which control the process of rule induction. We examined the effectiveness of nine quality measures. Moreover, we propose and compare three schemes of the prediction of target attribute value of examples covered by more than one rule. We also show rule filtration algorithm for the reduction of the number of generated rules. All experiments were carried out on 35 benchmark datasets.