Original Contribution: Stacked generalization
Neural Networks
Competition-Based Induction of Decision Models from Examples
Machine Learning - Special issue on genetic algorithms
Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
SIA: A Supervised Inductive Algorithm with Genetic Search for Learning Attributes based Concepts
ECML '93 Proceedings of the European Conference on Machine Learning
A learning system based on genetic adaptive algorithms
A learning system based on genetic adaptive algorithms
Search-intensive concept induction
Evolutionary Computation
Efficient Distributed Genetic Algorithm for Rule Extraction
HIS '08 Proceedings of the 2008 8th International Conference on Hybrid Intelligent Systems
Distributed data mining and agents
Engineering Applications of Artificial Intelligence
Metalearning: Applications to Data Mining
Metalearning: Applications to Data Mining
Scaling up: distributed machine learning with cooperation
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Activity recognition: an evolutionary ensembles approach
Proceedings of the 2011 international workshop on Situation activity & goal awareness
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This paper presents a methodology for knowledge discovery from inherently distributed data without moving it from its original location, completely or partially, to other locations for legal or competition issues. It is based on a novel technique that performs in two stages: first, discovering the knowledge locally and second, merging the distributed knowledge acquired in every location in a common privacy aware maximizing the global accuracy by using evolutionary models. The knowledge obtained in this way improves the one achieved in the local stores, thus it is of interest for the concerned organizations.