Jose María Luna Ariza

Category

Doctor

Contact

jmluna@uco.mqnJHOtubsOxes

Organismo

UCO

Researcher Profile

Total From 2015:
Citas Total: 1835 From 2015: 1588
Índice H Total: 22 From 2015: 20
Índice i10 Total: 35 From 2015: 34

Papers (90)

Title Authors Year
A semantically enriched text mining system for clinical decision support C Luque, JM Luna, S Ventura. 2020
Extracting User-Centric Knowledge on Two Different Spaces: Concepts and Records JM Luna, P Fournier-Viger, S Ventura. 2020
Mining Cross-Level High Utility Itemsets P Fournier-Viger, Y Wang, JCW Lin, JM Luna, S Ventura. 2020
Mining Local Periodic Patterns in a Discrete Sequence P Fournier-Viger, P Yang, RU Kiran, S Ventura, JM Luna. 2020
Evaluating associative classification algorithms for Big Data F Padillo, JM Luna, S Ventura. 2019
A grammar-guided genetic programing algorithm for associative classification in Big Data F Padillo, JM Luna, S Ventura. 2019
An advanced review on text mining in medicine C Luque, JM Luna, M Luque, S Ventura. 2019
Subgroup discovery in MOOCs: a big data application for describing different types of learners JM Luna, HM Fardoun, F Padillo, C Romero, S Ventura. 2019
MiNerDoc: a Semantically Enriched Text Mining System to Transform Clinical Text into Knowledge C Luque, JM Luna, S Ventura. 2019
Frequent itemset mining: A 25 years review JM Luna, P Fournier‐Viger, S Ventura. 2019
Subgroup Discovery on Multiple Instance Data JM Luna, CJ Carmona, AM García-Vico, MJ del Jesus, S Ventura. 2019
Associative Classification in Big Data through a G3P Approach JM Luna, F Padillo, S Ventura. 2019
LAC: Library for associative classification F Padillo, JM Luna, S Ventura. 2019
Associative Classification in Big Data through a G3P Approach. JM Luna, F Padillo, S Ventura. 2019
Mining association rules on Big Data through MapReduce genetic programming F Padillo, JM Luna, F Herrera, S Ventura. 2018
A gene expression programming method for multi-target regression O Reyes, JM Moyano, JM Luna, S Ventura. 2018
Resolucion de Problemas Biomédicos mediante Técnicas de Extraccion de Conocimiento O Reyes, JM Luna, JM Moyano, E Pérez, S Ventura. 2018
Resolviendo el problema de regresion multi-salida mediante Gene Expression Programming O Reyes, JM Moyano, JM Luna, S Ventura. 2018
Supervised descriptive pattern mining S Ventura, JM Luna. 2018
Optimization of quality measures in association rule mining: an empirical study JM Luna, M Ondra, HM Fardoun, S Ventura. 2018
Subgroup Discovery S Ventura, JM Luna. 2018
Contrast Sets S Ventura, JM Luna. 2018
Emerging Patterns S Ventura, JM Luna. 2018
Class Association Rules S Ventura, JM Luna. 2018
Other Forms of Supervised Descriptive Pattern Mining S Ventura, JM Luna. 2018
Successful Applications S Ventura, JM Luna. 2018
Exceptional Models S Ventura, JM Luna. 2018
Introduction to Supervised Descriptive Pattern Mining S Ventura, JM Luna. 2018
Mining context-aware association rules using grammar-based genetic programming JM Luna, M Pechenizkiy, MJ del Jesus, S Ventura. 2017
MDM tool: A data mining framework integrated into Moodle JM Luna, C Castro, C Romero. 2017
Apriori versions based on mapreduce for mining frequent patterns on big data JM Luna, F Padillo, M Pechenizkiy, S Ventura. 2017
Exhaustive search algorithms to mine subgroups on Big Data using Apache Spark F Padillo, JM Luna, S Ventura. 2017
Evaluation and comparison of open source software suites for data mining and knowledge discovery AH Altalhi, JM Luna, MA Vallejo, S Ventura. 2017
An evolutionary algorithm for mining rare association rules: a big data approach F Padillo, JM Luna, S Ventura. 2017
LAIM discretization for multi-label data A Cano, JM Luna, EL Gibaja, S Ventura. 2016
Pattern mining with evolutionary algorithms S Ventura, JM Luna. 2016
Speeding-up association rule mining with inverted index compression JM Luna, A Cano, M Pechenizkiy, S Ventura. 2016
Mining exceptional relationships with grammar-guided genetic programming JM Luna, M Pechenizkiy, S Ventura. 2016
Recommending degree studies according to students’ attitudes in high school by means of subgroup discovery AY Noaman, JM Luna, AHM Ragab, S Ventura. 2016
Discovering useful patterns from multiple instance data JM Luna, A Cano, V Sakalauskas, S Ventura. 2016
Pattern mining: Current status and emerging topics JM Luna. 2016
Subgroup discovery on big data: exhaustive methodologies using map-reduce F Padillo, JM Luna, S Ventura. 2016
A data structure to speed-up machine learning algorithms on massive datasets F Padillo, JM Luna, A Cano, S Ventura. 2016
Mining perfectly rare itemsets on big data: an approach based on apriori-inverse and mapreduce F Padillo, JM Luna, S Ventura. 2016
Subgroup discovery on big data: Pruning the search space on exhaustive search algorithms F Padillo, JM Luna, S Ventura. 2016
Big Data on Real-World Applications SV Soto, J Luna, A Cano. 2016
Quality measures in pattern mining S Ventura, JM Luna. 2016
Scalability in Pattern Mining S Ventura, JM Luna. 2016
Multiobjective Approaches in Pattern Mining S Ventura, JM Luna. 2016
Mining Exceptional Relationships Between Patterns S Ventura, JM Luna. 2016
Genetic Programming in Pattern Mining S Ventura, JM Luna. 2016
Introduction to Evolutionary Computation S Ventura, JM Luna. 2016
Pattern Mining with Genetic Algorithms S Ventura, JM Luna. 2016
Supervised Local Pattern Mining S Ventura, JM Luna. 2016
Introduction to Pattern Mining S Ventura, JM Luna. 2016
Medical big data analysis in hospital information system JS Li, YF Zhang, Y Tian, SV Soto, J Luna, A Cano. 2016
An evolutionary algorithm for the discovery of rare class association rules in learning management systems JM Luna, C Romero, JR Romero, S Ventura. 2015
Genetic programming for mining association rules in relational database environments JM Luna, A Cano, S Ventura. 2015
Discovering clues to avoid middle school failure at early stages MA Jiménez-Gómez, JM Luna, C Romero, S Ventura. 2015
Proceedings of the 8th International Conference on Educational Data Mining, EDM 2015, Madrid, Spain, June 26-29, 2015 OC Santos, J Boticario, C Romero, M Pechenizkiy, A Merceron, P Mitros, .... 2015
An evolutionary self-adaptive algorithm for mining association rules JM Luna, A Cano, S Ventura. 2015
8th International Conference on Educational Data Mining OC Santos, JG Boticario, C Romero, M Pechenizkiy, A Merceron, P Mitros, .... 2015
Cómo compartir un secreto usando sistemas de ecuaciones lineales A Cano, JM Luna, AR Matas. 2015
Proceedings of the International Conference on Educational Data Mining (EDM)(8th, Madrid, Spain, June 26-29, 2015). OC Santos, JG Boticario, C Romero, M Pechenizkiy, A Merceron, P Mitros, .... 2015
A classification module for genetic programming algorithms in JCLEC A Cano, JM Luna, A Zafra, S Ventura Soto. 2014
On the use of genetic programming for mining comprehensible rules in subgroup discovery JM Luna, JR Romero, C Romero, S Ventura. 2014
Reducing gaps in quantitative association rules: A genetic programming free-parameter algorithm JM Luna, JR Romero, C Romero, S Ventura. 2014
On the adaptability of G3PARM to the extraction of rare association rules JM Luna, JR Romero, S Ventura. 2014
Nuevos retos en minería de reglas de asociación: un enfoque basado en programación genética JM Luna. 2014
Association rule mining using genetic programming to provide feedback to instructors from multiple‐choice quiz data C Romero, A Zafra, JM Luna, S Ventura. 2013
Predicting students' final performance from participation in on-line discussion forums C Romero, MI López, JM Luna, S Ventura. 2013
High performance evaluation of evolutionary-mined association rules on GPUs A Cano, JM Luna, S Ventura. 2013
Grammar-based multi-objective algorithms for mining association rules JM Luna, JR Romero, S Ventura. 2013
Mining association rules with single and multi-objective grammar guided ant programming JL Olmo, JM Luna, JR Romero, S Ventura. 2013
Discovering subgroups by means of genetic programming JM Luna, JR Romero, C Romero, S Ventura. 2013
Classification via clustering for predicting final marks based on student participation in forums. MI Lopez, JM Luna, C Romero, S Ventura. 2012
Design and behavior study of a grammar-guided genetic programming algorithm for mining association rules JM Luna, JR Romero, S Ventura. 2012
Meta-Learning Approach for Automatic Parameter Tuning: A Case Study with Educational Datasets. MM Molina, JM Luna, C Romero, S Ventura. 2012
A genetic programming free-parameter algorithm for mining association rules JM Luna, JR Romero, C Romero, S Ventura. 2012
RM-Tool: A framework for discovering and evaluating association rules C Romero, JM Luna, JR Romero, S Ventura. 2011
Association rule mining using a multi-objective grammar-based ant programming algorithm JL Olmo, JM Luna, JR Romero, S Ventura. 2011
Mining and representing rare association rules through the use of genetic programming JM Luna, JR Romero, S Ventura. 2011
JCLEC Meets WEKA! A Cano, JM Luna, JL Olmo, S Ventura. 2011
Mining rare association rules from e-learning data C Romero, JR Romero, JM Luna, S Ventura. 2010
G3PARM: a grammar guided genetic programming algorithm for mining association rules JM Luna, JR Romero, S Ventura. 2010
An intruder detection approach based on infrequent rating pattern mining JM Luna, A Ramírez, JR Romero, S Ventura. 2010
Analysis of the effectiveness of G3PARM algorithm JM Luna, JR Romero, S Ventura. 2010
An automatic programming aco-based algorithm for classification rule mining JL Olmo, JM Luna, JR Romero, S Ventura. 2010
Minería de reglas de asociación con programación genética gramatical JM Luna, JLO Ortiz, JR Romero, S Ventura. 2010
Plagas que atacan las vainasFrijol: investigación y producción A Schoonhoven, C Cardona, M López, F Fernández, JM Lenné, .... 1985

Descargando datos de la publicación

Scroll Up