Genetic Programming Bibliography entries for Jose Maria Luna
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GP coauthors/coeditors:
Alberto Cano Rojas,
Sebastian Ventura,
Amelia Zafra Gomez,
Jose Raul Romero Salguero,
Aurora Ramirez Quesada,
Cristobal Romero Morales,
Mykola Pechenizkiy,
Maria Jose del Jesus,
Francisco Padillo,
Wouter Duivesteijn,
Philippe Fournier-Viger,
Amin Yousef Mohammad Noaman,
Abdul Hamid Mohamed Ragab,
Juan Luis Olmo,
Francisco Herrera,
Oscar Gabriel Reyes Pupo,
Jose Maria Moyano Murillo,
Genetic Programming Articles by Jose Maria Luna
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Jose Maria Luna and Philippe Fournier-Viger and Sebastian Ventura.
Extracting User-Centric Knowledge on Two Different Spaces: Concepts and Records.
IEEE Access, 8:134782-134799, 2020.
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Jose Maria Luna and Mykola Pechenizkiy and Wouter Duivesteijn and Sebastian Ventura.
Exceptional in so Many Ways--Discovering Descriptors That Display Exceptional Behavior on Contrasting Scenarios.
IEEE Access, 8:200982-200994, 2020.
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Francisco Padillo and Jose Maria Luna and Sebastian Ventura.
A Grammar-Guided Genetic Programing Algorithm for Associative Classification in Big Data.
Cognitive Computation, 11:331-346, 2019.
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Francisco Padillo and Jose Maria Luna and Francisco Herrera and Sebastian Ventura.
Mining association rules on Big Data through MapReduce genetic programming.
Integrated Computer-Aided Engineering,, 25(1):31-48, 2018.
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Jose Maria Luna and Mykola Pechenizkiy and Maria Jose del Jesus and Sebastian Ventura.
Mining Context-Aware Association Rules Using Grammar-Based Genetic Programming.
IEEE Transactions on Cybernetics, 48(11):3030-3044, 2018.
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Jose Maria Luna and Mykola Pechenizkiy and Sebastian Ventura.
Mining exceptional relationships with grammar-guided genetic programming.
Knowledge and Information Systems, 47(3):571-594, 2016.
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Amin Y. Noaman and Jose Maria Luna and Abdul Hamid M. Ragab and Sebastian Ventura.
Recommending degree studies according to students' attitudes in high school by means of subgroup discovery.
International Journal of Computational Intelligence Systems, 9(6):1101-1117, 2016.
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Alberto Cano and Jose Maria Luna and Amelia Zafra and Sebastian Ventura.
A Classification Module for Genetic Programming Algorithms in JCLEC.
Journal of Machine Learning Research, 16:491-494, 2015.
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J. M. Luna and C. Romero and J. R. Romero and S. Ventura.
An Evolutionary Algorithm for the Discovery of Rare Class Association Rules in Learning Management Systems.
Applied Intelligence, 42(3):501-513, 2015.
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J. M. Luna and J. R. Romero and S. Ventura.
On the adaptability of G3PARM to the extraction of rare association rules.
Knowledge and Information Systems, 38(2):391-418, 2014.
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Jose Maria Luna and Jose Raul Romero and Cristobal Romero and Sebastian Ventura.
Reducing gaps in quantitative association rules: A genetic programming free-parameter algorithm.
Integrated Computer-Aided Engineering, 21(4):321-337, 2014.
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Jose Maria Luna and Jose Raul Romero and Cristobal Romero and Sebastian Ventura.
On the Use of Genetic Programming for Mining Comprehensible Rules in Subgroup Discovery.
IEEE Transactions on Cybernetics, 44(12):2329-2341, 2014.
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Cristobal Romero and Amelia Zafra and Jose Maria Luna and Sebastian Ventura.
Association rule mining using genetic programming to provide feedback to instructors from multiple-choice quiz data.
Expert Systems, 30(2):162-172, 2013.
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Juan Luis Olmo and Jose Maria Luna and Jose Raul Romero and Sebastian Ventura.
Mining association rules with single and multi-objective grammar guided ant programming.
Integrated Computed-Aided Engineering, 20(3):217-234, 2013.
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J. M. Luna and J. R. Romero and S. Ventura.
Grammar-based multi-objective algorithms for mining association rules.
Data \& Knowledge Engineering, 86:19-37, 2013.
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Alberto Cano and Jose Maria Luna and Sebastian Ventura.
High performance evaluation of evolutionary-mined association rules on GPUs.
The Journal of Supercomputing, 66(3):1438-1461, 2013.
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Jose Maria Luna and Jose Raul Romero and Sebastian Ventura.
Design and behavior study of a grammar-guided genetic programming algorithm for mining association rules.
Knowledge and Information Systems, 32(1):53-76, 2012.
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Genetic Programming Books by Jose Maria Luna
Genetic Programming PhD doctoral thesis Jose Maria Luna
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Jose Maria Luna Ariza.
New Challenges in Association Rule Mining: an Approach Based on Genetic Programming. Ph.D. in Computer Science ,
Department of Computer Science and Artificial Intelligence, University of Granada, Spain, 2014.
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Genetic Programming conference papers by Jose Maria Luna
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Jose Maria Luna and Francisco Padillo and Sebastian Ventura.
Associative classification in big data through a G3P approach. In
Proceedings of the 4th International Conference on Internet of Things, Big Data and Security - IoTBDS, pages 94-102, Heraklion, Crete, Greece, 2019. SciTePress.
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Oscar Gabriel Reyes Pupo and Jose Maria Moyano Murillo and Jose Maria Luna and Sebastian Ventura.
A gene expression programming method for multi-target regression. In
Saaid Amzazi and Abdellatif El Afia and Mohammed Essaaidi editors,
Proceedings of the International Conference on Learning and Optimization Algorithms: Theory and Applications, LOPAL 2018, Rabat, Morocco, May 2-5, 2018, pages 2:1-2:6, 2018. ACM.
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Francisco Padillo and Jose Maria Luna and Sebastian Ventura.
An evolutionary algorithm for mining rare association rules: A Big Data approach. In
Jose A. Lozano editor,
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, pages 2007-2014, Donostia, San Sebastian, Spain, 2017. IEEE.
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Jose M. Luna and Jose R. Romero and Cristobal Romero and Sebastian Ventura.
Discovering Subgroups by Means of Genetic Programming. In
Krzysztof Krawiec and Alberto Moraglio and Ting Hu and A. Sima Uyar and Bin Hu editors,
Proceedings of the 16th European Conference on Genetic Programming, EuroGP 2013, volume 7831, pages 121-132, Vienna, Austria, 2013. Springer Verlag.
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Jose Maria Luna and Jose Raul Romero and Cristobal Romero and Sebastian Ventura.
A genetic programming free-parameter algorithm for mining association rules. In
12th International Conference on Intelligent Systems Design and Applications (ISDA 2012), pages 64-69, 2012.
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Juan Luis Olmo and Jose Maria Luna and Jose Raul Romero and Sebastian Ventura.
Association rule mining using a multi-objective grammar-based ant programming algorithm. In
11th International Conference on Intelligent Systems Design and Applications (ISDA 2011), pages 971-977, Cordoba, 2011.
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Jose Maria Luna and Jose Raul Romero and Sebastian Ventura.
Mining and representing rare association rules through the use of genetic programming. In
Third World Congress on Nature and Biologically Inspired Computing (NaBIC 2011), pages 86-91, Salamanca, 2011.
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Jose Maria Luna and Jose Raul Romero and Sebastian Ventura.
G3PARM: A Grammar Guided Genetic Programming algorithm for mining association rules. In
IEEE Congress on Evolutionary Computation (CEC 2010), Barcelona, Spain, 2010. IEEE Press.
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Jose Maria Luna and Aurora Ramirez and Jose Raul Romero and Sebastian Ventura.
An intruder detection approach based on infrequent rating pattern mining. In
10th International Conference on Intelligent Systems Design and Applications (ISDA 2010), pages 682-688, 2010.
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J. M. Luna and J. R. Romero and S. Ventura.
Analysis of the Effectiveness of G3PARM Algorithm. In
Emilio Corchado and Manuel Grana Romay and Alexandre Manhaes Savio editors,
Proceedings of the 5th International Conference on Hybrid Artificial Intelligence Systems (HAIS 2010) Part II, volume 6077, pages 27-34, San Sebastian, Spain, 2010. Springer.
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Genetic Programming book chapters by Jose Maria Luna
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Sebastian Ventura and Jose Maria Luna.
Genetic Programming in Pattern Mining. In
Pattern Mining with Evolutionary Algorithms, chapter 5, pages 87-117. Springer, 2016.
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J. M. Luna and A. Cano and S. Ventura.
Genetic Programming for Mining Association Rules in Relational Database Environments. In
Amir H. Gandomi and Amir H. Alavi and Conor Ryan editors,
Handbook of Genetic Programming Applications, chapter 17, pages 431-450. Springer, 2015.
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Juan Luis Olmo and Jose Maria Luna and Jose Raul Romero and Sebastian Ventura.
An Automatic Programming ACO-Based Algorithm for Classification Rule Mining. In
Yves Demazeau and Frank Dignum and Juan M. Corchado and Javier Bajo and Rafael Corchuelo and Emilio Corchado and Florentino Fernandez-Riverola and Vicente J. Julian and Pawel Pawlewski and Andrew Campbell editors,
Trends in Practical Applications of Agents and Multiagent Systems, volume 71 of Advances in Intelligent and Soft Computing, pages 649-656. Springer, 2010.
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