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Artificial intelligence / Decision tree learning / Pruning / Grafting / Tree / Algorithm / Random forest / Genetic programming / C4.5 algorithm / Decision trees / Machine learning / Mathematics


A Hyper-Heuristic Evolutionary Algorithm for Automatically Designing Decision-Tree Algorithms Rodrigo C. Barros Márcio P. Basgalupp
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Document Date: 2013-06-23 23:20:09


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San Francisco / Davenport / Ljubljana / Philadelphia / Asuncion / /

Company

HEAD-DT / R. C. Barros D. D. / /

Country

United States / Yugoslavia / /

Currency

USD / /

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Facility

Brazil ICMC-USP University of São Paulo São Carlos / Barros Márcio P. Basgalupp André C. P. L. F. de Carvalho ICMC-USP University of São Paulo São Carlos / Computing University of Kent Canterbury / Brazil ICT-UNIFESP Federal University of SP S. J. / Jozef Stefan Institute / /

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induction algorithms / hyper-heuristic algorithm / efficient solution / machine learning algorithms / bottom-up search / decision-tree algorithms / decision-tree induction algorithms / automatic algorithm / data mining / evolutionary algorithm / different algorithms / evolutionary algorithms / Expert systems / induction algorithm / effective algorithm / http /

Organization

University of São Paulo São Carlos / Computing University of Kent Canterbury / Operational Research Society / World Congress / Brazil ICMC-USP University of São Paulo São Carlos / Jozef Stefan Institute / Colaborative Computational Intelligence / Brazil ICT-UNIFESP Federal University of SP S. J. / Pattern Analysis and Machine Intelligence / /

Person

Kent Canterbury / Morgan Kaufmann / Paulo São Carlos / /

Position

researcher / General / Assistant / /

Product

C4 / /

ProvinceOrState

Pennsylvania / /

PublishedMedium

IEEE Transactions on Pattern Analysis and Machine Intelligence / Machine Learning / The Knowledge Engineering Review / Journal of Machine Learning Research / the Nemenyi post / /

Technology

machine learning algorithms / decision-tree algorithms / Remote Sensing / Designing DT algorithms / evolutionary algorithm / class B. An algorithm / decision-tree induction algorithms / 127 million different algorithms / Bottom-Up Oblique Decision Tree Induction Algorithm / hyper-heuristic evolutionary algorithm / machine learning / automatic algorithm / induction algorithms / CN2 induction algorithm / DT induction algorithms / resulting DT algorithms / evolved algorithm / DT algorithms / data mining / effective algorithm / hyper-heuristic algorithm / evolved algorithms / DT algorithm / medical diagnostic / /

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http /

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