Artificial Intelligence
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
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.)
Bayesian classification (AutoClass): theory and results
Advances in knowledge discovery and data mining
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Data Mining and Knowledge Discovery with Evolutionary Algorithms
Data Mining and Knowledge Discovery with Evolutionary Algorithms
A Parallel Genetic Algorithm for Rule Mining
IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium
Adaptive Hierarchical Censored Production Rule-Based System: A Generic Algorithm Approach
SBIA '96 Proceedings of the 13th Brazilian Symposium on Artificial Intelligence: Advances in Artificial Intelligence
Discovery of comprehensible symbolic rules in a neural network
INBS '95 Proceedings of the First International Symposium on Intelligence in Neural and Biological Systems (INBS'95)
A self-adaptive migration model genetic algorithm for data mining applications
Information Sciences: an International Journal
A parallel genetic algorithm approach for automated discovery of censored production rules
AIAP'07 Proceedings of the 25th conference on Proceedings of the 25th IASTED International Multi-Conference: artificial intelligence and applications
Distributed mining of censored production rules in data streams: an evolutionary approach
AIKED'08 Proceedings of the 7th WSEAS International Conference on Artificial intelligence, knowledge engineering and data bases
Cumulative learning techniques in production rules with fuzzy hierarchy (PRFH) system
Journal of Experimental & Theoretical Artificial Intelligence
A method of data classification based on parallel genetic algorithm
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
Parallelism and evolutionary algorithms
IEEE Transactions on Evolutionary Computation
An organizational coevolutionary algorithm for classification
IEEE Transactions on Evolutionary Computation
| Hi-index | 12.05 |
Automated discovery of rules with exceptions and hierarchical structures is an important problem in data mining. A knowledge structure based on Censored Production Rules with Fuzzy Hierarchy (CPRFH) not only provides an excellent mechanism for handling exceptions but also captures the hierarchical relationship among the classes in the dataset. Moreover, CPRFHs are able to exhibit variable precision logic for approximate reasoning. This paper proposes discovery of knowledge in the form of CPRFHs using island model of genetic programming with two advanced genetic operators, namely; fission and fusion. The fission and fusion operators impart intelligence to the system as these operators discover new classes/concepts which are not present explicitly in the data set being mined. A suitable encoding with syntactic constraints is designed and an appropriate fitness function is suggested to measure the goodness of the hierarchies. The experimental results confirm that the island model with fission and fusion outperforms the sequential as well as the island models without fission and fusion in terms of correctness of the solution arrived and size of the trees evolved.