José María Luna

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 45

Top Topics

Top Venues

IEEE Trans. Cybern.

Int. J. Comput. Intell. Syst.

Publications

Antonio Manuel Trasierras, José María Luna, Philippe Fournier-Viger, Sebastián Ventura
Data heterogeneity's impact on the performance of frequent itemset mining algorithms. Inf. Sci. 678 (2024)
Christian Luna, Antonio R. Moya, José María Luna, Sebastián Ventura
StaTDS library: Statistical tests for Data Science. Neurocomputing 595 (2024)
Hareth Zmezm, José María Luna, Eduardo Almeda Luna, Sebastián Ventura
Efficient Frequent Chronicle Mining Algorithms: Application to Sleep Disorder. IEEE Access 12 (2024)
Pamalla Veena, Palla Likhitha, R. Uday Kiran, José María Luna, Philippe Fournier-Viger, Koji Zettsu
Discovering Fuzzy Partial Periodic Patterns in Quantitative Irregular Multiple Time Series. FUZZ (2023)
José María Luna, Rage Uday Kiran, Philippe Fournier-Viger, Sebastián Ventura
high utility itemsets through genetic algorithms. Inf. Sci. 624 (2023)
Eduardo Almeda Luna, José María Luna, Sebastián Ventura
Radiomics Software Tools: A comparative Analysis on Breast Cancer. CBMS (2023)
Antonio Manuel Trasierras, José María Luna, Sebastián Ventura
A contrast set mining based approach for cancer subtype analysis. Artif. Intell. Medicine 143 (2023)
Marco Antonio Barron, José María Luna, Sebastián Ventura
Facing Up Fare War: Generating Competitive Price Models With Gene Expression Programming. IEEE Access 10 (2022)
Mohammed Ibrahim Al-Twijri, José María Luna, Francisco Herrera, Sebastián Ventura
Course Recommendation based on Sequences: An Evolutionary Search of Emerging Sequential Patterns. Cogn. Comput. 14 (4) (2022)
Marco Antonio Barron, José María Luna, Sebastián Ventura
Dynamic Airline Discounts using an Evolutionary Subgroup Discovery Methodology. COINS (2022)
José María Luna, Habib M. Fardoun, Francisco Padillo, Cristóbal Romero, Sebastián Ventura
Subgroup discovery in MOOCs: a big data application for describing different types of learners. Interact. Learn. Environ. 30 (1) (2022)
Jose M. Moyano, José María Luna, Sebastián Ventura
Improving the Performance of Multi-Label Classifiers via Label Space Reduction. COINS (2022)
Jose M. Moyano, José María Luna, Sebastián Ventura
Reducing the Label Space a Predefined Ratio for a More Efficient Multilabel Classification. IEEE Access 10 (2022)
Antonio Manuel Trasierras, José María Luna, Sebastián Ventura
Improving the understanding of cancer in a descriptive way: An emerging pattern mining-based approach. Int. J. Intell. Syst. 37 (4) (2022)
Philippe Fournier-Viger, Peng Yang, Rage Uday Kiran, Sebastián Ventura, José María Luna
Mining local periodic patterns in a discrete sequence. Inf. Sci. 544 (2021)
R. Uday Kiran, Pradeep Pallikila, José María Luna, Philippe Fournier-Viger, Masashi Toyoda, P. Krishna Reddy
Discovering Relative High Utility Itemsets in Very Large Transactional Databases Using Null-Invariant Measure. IEEE BigData (2021)
José María Luna, Mykola Pechenizkiy, Wouter Duivesteijn, Sebastián Ventura
Exceptional in so Many Ways - Discovering Descriptors That Display Exceptional Behavior on Contrasting Scenarios. IEEE Access 8 (2020)
José María Luna, Philippe Fournier-Viger, Sebastián Ventura
Extracting User-Centric Knowledge on Two Different Spaces: Concepts and Records. IEEE Access 8 (2020)
Francisco Padillo, José María Luna, Sebastián Ventura
LAC: Library for associative classification. Knowl. Based Syst. 193 (2020)
Philippe Fournier-Viger, Ying Wang, Jerry Chun-Wei Lin, José María Luna, Sebastián Ventura
Mining Cross-Level High Utility Itemsets. IEA/AIE (2020)
Carmen Luque, José María Luna, Sebastián Ventura
MiNerDoc: a Semantically Enriched Text Mining System to Transform Clinical Text into Knowledge. CBMS (2019)
Carmen Luque, José María Luna, Maria Luque, Sebastián Ventura
An advanced review on text mining in medicine. WIREs Data Mining Knowl. Discov. 9 (3) (2019)
José María Luna, Cristóbal J. Carmona, Ángel Miguel García-Vico, María José del Jesus, Sebastián Ventura
Subgroup Discovery on Multiple Instance Data. Int. J. Comput. Intell. Syst. 12 (2) (2019)
Francisco Padillo, José María Luna, Sebastián Ventura
A Grammar-Guided Genetic Programing Algorithm for Associative Classification in Big Data. Cogn. Comput. 11 (3) (2019)
José María Luna, Francisco Padillo, Sebastián Ventura
Associative Classification in Big Data through a G3P Approach. IoTBDS (2019)
José María Luna, Philippe Fournier-Viger, Sebastián Ventura
Frequent itemset mining: A 25 years review. WIREs Data Mining Knowl. Discov. 9 (6) (2019)
José María Luna, Francisco Padillo, Mykola Pechenizkiy, Sebastián Ventura
Apriori Versions Based on MapReduce for Mining Frequent Patterns on Big Data. IEEE Trans. Cybern. 48 (10) (2018)
Oscar Gabriel Reyes Pupo, Jose María Moyano Murillo, José María Luna, Sebastián Ventura
A gene expression programming method for multi-target regression. LOPAL (2018)
José María Luna, M. Ondra, Habib M. Fardoun, Sebastián Ventura
Optimization of quality measures in association rule mining: an empirical study. Int. J. Comput. Intell. Syst. 12 (1) (2018)
Francisco Padillo, José María Luna, Francisco Herrera, Sebastián Ventura
Mining association rules on Big Data through MapReduce genetic programming. Integr. Comput. Aided Eng. 25 (1) (2018)
José María Luna, Mykola Pechenizkiy, María José del Jesus, Sebastián Ventura
Mining Context-Aware Association Rules Using Grammar-Based Genetic Programming. IEEE Trans. Cybern. 48 (11) (2018)
Abdulrahman H. Altalhi, José María Luna, M. A. Vallejo, Sebastián Ventura
Evaluation and comparison of open source software suites for data mining and knowledge discovery. WIREs Data Mining Knowl. Discov. 7 (3) (2017)
Francisco Padillo, José María Luna, Sebastián Ventura
Exhaustive search algorithms to mine subgroups on Big Data using Apache Spark. Prog. Artif. Intell. 6 (2) (2017)
Francisco Padillo, José María Luna, Sebastián Ventura
An evolutionary algorithm for mining rare association rules: A Big Data approach. CEC (2017)
José María Luna, Cristobal Castro, Cristóbal Romero
MDM tool: A data mining framework integrated into Moodle. Comput. Appl. Eng. Educ. 25 (1) (2017)
José María Luna, Alberto Cano, Virgilijus Sakalauskas, Sebastián Ventura
Discovering useful patterns from multiple instance data. Inf. Sci. 357 (2016)
José María Luna
Pattern mining: current status and emerging topics. Prog. Artif. Intell. 5 (3) (2016)
José María Luna, Alberto Cano, Mykola Pechenizkiy, Sebastián Ventura
Speeding-Up Association Rule Mining With Inverted Index Compression. IEEE Trans. Cybern. 46 (12) (2016)
Francisco Padillo, José María Luna, Sebastián Ventura
Mining Perfectly Rare Itemsets on Big Data: An Approach Based on Apriori-Inverse and MapReduce. ISDA (2016)
Francisco Padillo, José María Luna, Sebastián Ventura
Subgroup Discovery on Big Data: Exhaustive Methodologies Using Map-Reduce. Trustcom/BigDataSE/ISPA (2016)
José María Luna, Mykola Pechenizkiy, Sebastián Ventura
Mining exceptional relationships with grammar-guided genetic programming. Knowl. Inf. Syst. 47 (3) (2016)
Francisco Padillo, José María Luna, Alberto Cano, Sebastián Ventura
A Data Structure to Speed-Up Machine Learning Algorithms on Massive Datasets. HAIS (2016)
Francisco Padillo, José María Luna, Sebastián Ventura
Subgroup discovery on big data: Pruning the search space on exhaustive search algorithms. IEEE BigData (2016)
Alberto Cano, José María Luna, Eva Lucrecia Gibaja Galindo, Sebastián Ventura
LAIM discretization for multi-label data. Inf. Sci. 330 (2016)
Amin Y. Noaman, José María Luna, Abdul Hamid M. Ragab, Sebastián Ventura
Recommending degree studies according to students' attitudes in high school by means of subgroup discovery. Int. J. Comput. Intell. Syst. 9 (6) (2016)
José María Luna, Cristóbal Romero, José Raúl Romero, Sebastián Ventura
An evolutionary algorithm for the discovery of rare class association rules in learning management systems. Appl. Intell. 42 (3) (2015)
Alberto Cano, José María Luna, Amelia Zafra, Sebastián Ventura
A classification module for genetic programming algorithms in JCLEC. J. Mach. Learn. Res. 16 (2015)
Javier Bravo, Sonia J. Romero, José María Luna, Sonia Pamplona
Exploring the Influence of ICT in online Education Through Data Mining Tools. EDM (2015)
Manuel Ángel Jiménez-Gómez, José María Luna, Cristóbal Romero, Sebastián Ventura
Discovering clues to avoid middle school failure at early stages. LAK (2015)
José María Luna, José Raúl Romero, Cristóbal Romero, Sebastián Ventura
Reducing gaps in quantitative association rules: A genetic programming free-parameter algorithm. Integr. Comput. Aided Eng. 21 (4) (2014)
José María Luna, José Raúl Romero, Cristóbal Romero, Sebastián Ventura
On the Use of Genetic Programming for Mining Comprehensible Rules in Subgroup Discovery. IEEE Trans. Cybern. 44 (12) (2014)
José María Luna, José Raúl Romero, Sebastián Ventura
On the adaptability of G3PARM to the extraction of rare association rules. Knowl. Inf. Syst. 38 (2) (2014)
Cristóbal Romero, Amelia Zafra, José María Luna, Sebastián Ventura
Association rule mining using genetic programming to provide feedback to instructors from multiple-choice quiz data. Expert Syst. J. Knowl. Eng. 30 (2) (2013)
José María Luna, José Raúl Romero, Cristóbal Romero, Sebastián Ventura
Discovering Subgroups by Means of Genetic Programming. EuroGP (2013)
Cristóbal Romero, Manuel Ignacio López, José María Luna, Sebastián Ventura
Predicting students' final performance from participation in on-line discussion forums. Comput. Educ. 68 (2013)
Juan Luis Olmo, José María Luna, José Raúl Romero, Sebastián Ventura
Mining association rules with single and multi-objective grammar guided ant programming. Integr. Comput. Aided Eng. 20 (3) (2013)
José María Luna, José Raúl Romero, Sebastián Ventura
Grammar-based multi-objective algorithms for mining association rules. Data Knowl. Eng. 86 (2013)
Alberto Cano, José María Luna, Sebastián Ventura
High performance evaluation of evolutionary-mined association rules on GPUs. J. Supercomput. 66 (3) (2013)
José María Luna, José Raúl Romero, Sebastián Ventura
Design and behavior study of a grammar-guided genetic programming algorithm for mining association rules. Knowl. Inf. Syst. 32 (1) (2012)
Manuel Ignacio López, Cristóbal Romero, Sebastián Ventura, José María Luna
Classification via clustering for predicting final marks starting from the student participation in Forums. EDM (2012)
María De Mar Molina, Cristóbal Romero, Sebastián Ventura, José María Luna
Meta-learning Approach for Automatic Parameter Tuning: A case of study with educational datasets. EDM (2012)
José María Luna, José Raúl Romero, Cristóbal Romero, Sebastián Ventura
A genetic programming free-parameter algorithm for mining association rules. ISDA (2012)
José María Luna, José Raúl Romero, Sebastián Ventura
Mining and representing rare association rules through the use of genetic programming. NaBIC (2011)
Alberto Cano, José María Luna, Juan Luis Olmo, Sebastián Ventura
JCLEC Meets WEKA! HAIS (1) (2011)
Juan Luis Olmo, José María Luna, José Raúl Romero, Sebastián Ventura
Association rule mining using a multi-objective grammar-based ant programming algorithm. ISDA (2011)
Cristóbal Romero, José María Luna, José Raúl Romero, Sebastián Ventura
RM-Tool: A framework for discovering and evaluating association rules. Adv. Eng. Softw. 42 (8) (2011)
José María Luna, José Raúl Romero, Sebastián Ventura
Analysis of the Effectiveness of G3PARM Algorithm. HAIS (2) (2010)
Cristóbal Romero, José Raúl Romero, José María Luna, Sebastián Ventura
Mining Rare Association Rules from e-Learning Data. EDM (2010)
Juan Luis Olmo, José María Luna, José Raúl Romero, Sebastián Ventura
An Automatic Programming ACO-Based Algorithm for Classification Rule Mining. PAAMS (Special Sessions and Workshops) (2010)
José María Luna, José Raúl Romero, Sebastián Ventura
G3PARM: A Grammar Guided Genetic Programming algorithm for mining association rules. IEEE Congress on Evolutionary Computation (2010)
José María Luna, Aurora Ramírez, José Raúl Romero, Sebastián Ventura
An intruder detection approach based on infrequent rating pattern mining. ISDA (2010)