C4.5: programs for machine learning
C4.5: programs for machine learning
Fast training of support vector machines using sequential minimal optimization
Advances in kernel methods
Introduction to Bayesian Networks
Introduction to Bayesian Networks
A Modified Classifier System Compaction Algorithm
GECCO '02 Proceedings of the Genetic and Evolutionary Computation Conference
IWLCS '01 Revised Papers from the 4th International Workshop on Advances in Learning Classifier Systems
XCS and GALE: A Comparative Study of Two Learning Classifier Systems on Data Mining
IWLCS '01 Revised Papers from the 4th International Workshop on Advances in Learning Classifier Systems
A performance assessment of Bayesian networks as a predictor of breast cancer survival
Second international workshop on Intelligent systems design and application
Fast Algorithm of Support Vector Machines in Lung Cancer Diagnosis
MIAR '01 Proceedings of the International Workshop on Medical Imaging and Augmented Reality (MIAR '01)
A study of the behavior of several methods for balancing machine learning training data
ACM SIGKDD Explorations Newsletter - Special issue on learning from imbalanced datasets
Class imbalances versus small disjuncts
ACM SIGKDD Explorations Newsletter - Special issue on learning from imbalanced datasets
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
The class imbalance problem: A systematic study
Intelligent Data Analysis
Classifier fitness based on accuracy
Evolutionary Computation
Three methods for covering missing input data in XCS
IWLCS'03-05 Proceedings of the 2003-2005 international conference on Learning classifier systems
Data mining in learning classifier systems: comparing XCS with GAssist
IWLCS'03-05 Proceedings of the 2003-2005 international conference on Learning classifier systems
Evolutionary computing for knowledge discovery in medical diagnosis
Artificial Intelligence in Medicine
Learning classifier systems: a complete introduction, review, and roadmap
Journal of Artificial Evolution and Applications
On the appropriateness of evolutionary rule learning algorithms for malware detection
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers
Performance evaluation of evolutionary algorithms in classification of biomedical datasets
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers
Learning classifier systems: a complete introduction, review, and roadmap
Journal of Artificial Evolution and Applications
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Self-adaptation of learning rate in XCS working in noisy and dynamic environments
Computers in Human Behavior
A Software Tool for Determination of Breast Cancer Treatment Methods Using Data Mining Approach
Journal of Medical Systems
Engineering Applications of Artificial Intelligence
A new hybrid metaheuristic for medical data classification
International Journal of Metaheuristics
Hi-index | 0.00 |
In this paper, we describe the use of a modern learning classifier system to a data mining task. In particular, in collaboration with a medical specialist, we apply XCS to a primary breast cancer data set. Our results indicate more effective knowledge discovery than with C4.5.