Tackling Real-Coded Genetic Algorithms: Operators and Tools for Behavioural Analysis
Artificial Intelligence Review
General and Efficient Multisplitting of Numerical Attributes
Machine Learning
Small is beautiful: discovering the minimal set of unexpected patterns
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
What Makes Patterns Interesting in Knowledge Discovery Systems
IEEE Transactions on Knowledge and Data Engineering
Alternative Interest Measures for Mining Associations in Databases
IEEE Transactions on Knowledge and Data Engineering
Efficient Automated Mining of Fuzzy Association Rules
DEXA '02 Proceedings of the 13th International Conference on Database and Expert Systems Applications
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Multi-objective rule mining using genetic algorithms
Information Sciences: an International Journal - Special issue: Soft computing data mining
Application of elitist multi-objective genetic algorithm for classification rule generation
Applied Soft Computing
Expert Systems with Applications: An International Journal
Multiobjective evolutionary algorithms: a comparative case studyand the strength Pareto approach
IEEE Transactions on Evolutionary Computation
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
Evolutionary computing for knowledge discovery in medical diagnosis
Artificial Intelligence in Medicine
Multi-objective GA rule extraction in a parallel framework
Proceedings of the 15th WSEAS international conference on Computers
A multi-objective genetic algorithm approach to rule mining for affective product design
Expert Systems with Applications: An International Journal
Classification based on association rules: A lattice-based approach
Expert Systems with Applications: An International Journal
Association rule mining to detect factors which contribute to heart disease in males and females
Expert Systems with Applications: An International Journal
CAR-Miner: An efficient algorithm for mining class-association rules
Expert Systems with Applications: An International Journal
Hi-index | 12.06 |
This paper presents a method for designing autonomous classifiers via multi-objective genetic algorithms. The paper also proposes a novel objective measure to quantify the understandability of the classifiers. The other objectives of the classifiers are classification accuracy and average support value. We experimentally evaluate our approach on five different medical dataset and demonstrate that our algorithm encourages us to improve and apply this strategy in many real-world applications.