A classification module for genetic programming algorithms in JCLEC. A Cano, JM Luna, A Zafra, S Ventura J. Mach. Learn. Res. 16 (1), 491-494, 2015 | 34 | 2015 |
A contrast set mining based approach for cancer subtype analysis AM Trasierras, JM Luna, S Ventura Artificial Intelligence in Medicine 143, 102590, 2023 | 4 | 2023 |
A data structure to speed-up machine learning algorithms on massive datasets F Padillo, JM Luna, A Cano, S Ventura Hybrid Artificial Intelligent Systems: 11th International Conference, HAIS …, 2016 | 14 | 2016 |
A gene expression programming method for multi-target regression O Reyes, JM Moyano, JM Luna, S Ventura Proceedings of the International Conference on Learning and Optimization …, 2018 | 3 | 2018 |
A genetic programming free-parameter algorithm for mining association rules JM Luna, JR Romero, C Romero, S Ventura 2012 12th International Conference on Intelligent Systems Design and …, 2012 | 2 | 2012 |
A grammar-guided genetic programing algorithm for associative classification in big data F Padillo, JM Luna, S Ventura Cognitive Computation 11, 331-346, 2019 | 25 | 2019 |
A semantically enriched text mining system for clinical decision support C Luque, JM Luna, S Ventura Computational Intelligence 37 (4), 1545-1570, 2021 | 1 | 2021 |
An advanced review on text mining in medicine C Luque, JM Luna, M Luque, S Ventura Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 9 (3 …, 2019 | 68 | 2019 |
An automatic programming aco-based algorithm for classification rule mining JL Olmo, JM Luna, JR Romero, S Ventura Trends in Practical Applications of Agents and Multiagent Systems: 8th …, 2010 | 3 | 2010 |
An evolutionary algorithm for mining rare association rules: a big data approach F Padillo, JM Luna, S Ventura 2017 IEEE Congress on evolutionary computation (CEC), 2007-2014, 2017 | 15 | 2017 |
An evolutionary algorithm for the discovery of rare class association rules in learning management systems JM Luna, C Romero, JR Romero, S Ventura Applied Intelligence 42, 501-513, 2015 | 68 | 2015 |
An evolutionary self-adaptive algorithm for mining association rules JM Luna, A Cano, S Ventura Data Mining: Principles, Applications and Emerging Challenges, 2015 | 1 | 2015 |
An intruder detection approach based on infrequent rating pattern mining JM Luna, A Ramírez, JR Romero, S Ventura 2010 10th international conference on intelligent systems design and …, 2010 | 7 | 2010 |
Analysis and classification of employee attrition and absenteeism in industry: A sequential pattern mining-based methodology MS Nawaz, MZ Nawaz, P Fournier-Viger, JM Luna Computers in Industry 159, 104106, 2024 | 2 | 2024 |
Analysis of the effectiveness of G3PARM algorithm JM Luna, JR Romero, S Ventura Hybrid Artificial Intelligence Systems: 5th International Conference, HAIS …, 2010 | 6 | 2010 |
ANEXO III. MEMORIA FINAL DE PROYECTO E Gibaja, A Zafra, M Luque, A Ramírez, JM Moyano, JM Luna, A Cano, ... | | |
Apriori versions based on mapreduce for mining frequent patterns on big data JM Luna, F Padillo, M Pechenizkiy, S Ventura IEEE transactions on cybernetics 48 (10), 2851-2865, 2017 | 80 | 2017 |
Association rule mining using a multi-objective grammar-based ant programming algorithm JL Olmo, JM Luna, JR Romero, S Ventura 2011 11th International Conference on Intelligent Systems Design and …, 2011 | 20 | 2011 |
Association rule mining using genetic programming to provide feedback to instructors from multiple‐choice quiz data C Romero, A Zafra, JM Luna, S Ventura Expert Systems 30 (2), 162-172, 2013 | 93 | 2013 |
Associative Classification in Big Data through a G3P Approach. JM Luna, F Padillo, S Ventura IoTBDS, 94-102, 2019 | | 2019 |