Some structural aspects of hypergraph languages generated by hyperedge replacement
4th Annual Symposium on Theoretical Aspects of Computer Sciences on STACS 87
Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Handbook of graph grammars and computing by graph transformation: volume I. foundations
Handbook of graph grammars and computing by graph transformation: volume I. foundations
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Grammar Systems: A Grammatical Approach to Distribution and Cooperation
Grammar Systems: A Grammatical Approach to Distribution and Cooperation
Proceedings of the International Workshop on Graph Transformations in Computer Science
Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach
Data Mining and Knowledge Discovery
Graph indexing: a frequent structure-based approach
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Substructure similarity search in graph databases
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Editorial: Hybrid learning machines
Neurocomputing
A First Study on the Use of Coevolutionary Algorithms for Instance and Feature Selection
HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems
Reasoning about designs through frequent patterns mining
Advanced Engineering Informatics
Editorial: Hybrid intelligent algorithms and applications
Information Sciences: an International Journal
Designing fusers on the basis of discriminants – evolutionary and neural methods of training
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part I
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In this paper a hybrid artificial intelligence approach consisting of a genetic algorithm combined with frequent subgraphs mining and its use in a design system is presented. The design system uses hypergraphs as the internal representation. The frequent graphs mining approach is then used to find common elements in designs while genetic search is performed to reduce the size of the found set of frequent patterns. The application of this method to automatic evaluation of designs with some experimental results are also presented.