C4.5: programs for machine learning
C4.5: programs for machine learning
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
A Comparative Analysis of Methods for Pruning Decision Trees
IEEE Transactions on Pattern Analysis and Machine Intelligence
Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
Data Mining and Knowledge Discovery with Evolutionary Algorithms
Data Mining and Knowledge Discovery with Evolutionary Algorithms
Automatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey
Data Mining and Knowledge Discovery
Breeding Decision Trees Using Evolutionary Techniques
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Concept Formation and Decision Tree Induction Using the Genetic Programming Paradigm
PPSN I Proceedings of the 1st Workshop on Parallel Problem Solving from Nature
Application of Genetic Programming to Induction of Linear Classification Trees
Proceedings of the European Conference on Genetic Programming
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
A system for induction of oblique decision trees
Journal of Artificial Intelligence Research
Inducing oblique decision trees with evolutionary algorithms
IEEE Transactions on Evolutionary Computation
Evolutionary Induction of Decision Trees for Misclassification Cost Minimization
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part I
Global Induction of Decision Trees: From Parallel Implementation to Distributed Evolution
ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
A memetic algorithm for global induction of decision trees
SOFSEM'08 Proceedings of the 34th conference on Current trends in theory and practice of computer science
An evolutionary algorithm for global induction of regression trees
ICAISC'10 Proceedings of the 10th international conference on Artifical intelligence and soft computing: Part II
Globally induced model trees: an evolutionary approach
PPSN'10 Proceedings of the 11th international conference on Parallel problem solving from nature: Part I
An evolutionary algorithm for global induction of regression trees with multivariate linear models
ISMIS'11 Proceedings of the 19th international conference on Foundations of intelligent systems
Mixed decision trees: an evolutionary approach
DaWaK'06 Proceedings of the 8th international conference on Data Warehousing and Knowledge Discovery
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In the paper a new evolutionary algorithm for global induction of linear trees is presented. The learning process consists of searching for both a decision tree structure and hyper-plane weights in all non-terminal nodes. Specialized genetic operators are developed and applied according to the node quality and location. Feature selection aimed at simplification of the splitting hyper-planes is embedded into the algorithm and results in elimination of noisy and redundant features. The proposed approach is verified on both artificial and real-life data and the obtained results are promising.