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José María Luna
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Books and Theses
- 2018
- [b2]Sebastián Ventura, José María Luna:
Supervised Descriptive Pattern Mining. Springer 2018, ISBN 978-3-319-98139-0, pp. 1-185 - 2016
- [b1]Sebastián Ventura
, José María Luna
Pattern Mining with Evolutionary Algorithms. Springer 2016, ISBN 978-3-319-33857-6, pp. 1-190
Journal Articles
- 2024
- [j43]Hareth Zmezm
Efficient Frequent Chronicle Mining Algorithms: Application to Sleep Disorder. IEEE Access 12: 14580-14595 (2024) - [j42]Christian Luna
StaTDS library: Statistical tests for Data Science. Neurocomputing 595: 127877 (2024) - [j41]Antonio Manuel Trasierras
Data heterogeneity's impact on the performance of frequent itemset mining algorithms. Inf. Sci. 678: 120981 (2024) - 2023
- [j40]Antonio Manuel Trasierras
A contrast set mining based approach for cancer subtype analysis. Artif. Intell. Medicine 143: 102590 (2023) - [j39]José María Luna, Rage Uday Kiran, Philippe Fournier-Viger, Sebastián Ventura:
Efficient mining of top-k high utility itemsets through genetic algorithms. Inf. Sci. 624: 529-553 (2023) - 2022
- [j38]Jose M. Moyano
Reducing the Label Space a Predefined Ratio for a More Efficient Multilabel Classification. IEEE Access 10: 76480-76492 (2022) - [j37]Marco Antonio Barron
Facing Up Fare War: Generating Competitive Price Models With Gene Expression Programming. IEEE Access 10: 125298-125310 (2022) - [j36]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): 1474-1495 (2022) - [j35]Antonio Manuel Trasierras
Improving the understanding of cancer in a descriptive way: An emerging pattern mining-based approach. Int. J. Intell. Syst. 37(4): 2822-2848 (2022) - [j34]José María Luna
Subgroup discovery in MOOCs: a big data application for describing different types of learners. Interact. Learn. Environ. 30(1): 127-145 (2022) - 2021
- [j33]Philippe Fournier-Viger
Mining local periodic patterns in a discrete sequence. Inf. Sci. 544: 519-548 (2021) - 2020
- [j32]José María Luna, Philippe Fournier-Viger
Extracting User-Centric Knowledge on Two Different Spaces: Concepts and Records. IEEE Access 8: 134782-134799 (2020) - [j31]José María Luna, Mykola Pechenizkiy
Exceptional in so Many Ways - Discovering Descriptors That Display Exceptional Behavior on Contrasting Scenarios. IEEE Access 8: 200982-200994 (2020) - [j30]Francisco Padillo
LAC: Library for associative classification. Knowl. Based Syst. 193: 105432 (2020) - 2019
- [j29]Francisco Padillo, José María Luna
A Grammar-Guided Genetic Programing Algorithm for Associative Classification in Big Data. Cogn. Comput. 11(3): 331-346 (2019) - [j28]José María Luna, Cristóbal J. Carmona
Subgroup Discovery on Multiple Instance Data. Int. J. Comput. Intell. Syst. 12(2): 1602-1612 (2019) - [j27]Carmen Luque, José María Luna
An advanced review on text mining in medicine. WIREs Data Mining Knowl. Discov. 9(3) (2019) - [j26]José María Luna
Frequent itemset mining: A 25 years review. WIREs Data Mining Knowl. Discov. 9(6) (2019) - 2018
- [j25]Francisco Padillo, José María Luna
Mining association rules on Big Data through MapReduce genetic programming. Integr. Comput. Aided Eng. 25(1): 31-48 (2018) - [j24]José María Luna
Optimization of quality measures in association rule mining: an empirical study. Int. J. Comput. Intell. Syst. 12(1): 59-78 (2018) - [j23]José María Luna
Apriori Versions Based on MapReduce for Mining Frequent Patterns on Big Data. IEEE Trans. Cybern. 48(10): 2851-2865 (2018) - [j22]José María Luna
Mining Context-Aware Association Rules Using Grammar-Based Genetic Programming. IEEE Trans. Cybern. 48(11): 3030-3044 (2018) - 2017
- [j21]José María Luna
MDM tool: A data mining framework integrated into Moodle. Comput. Appl. Eng. Educ. 25(1): 90-102 (2017) - [j20]Francisco Padillo, José María Luna
Exhaustive search algorithms to mine subgroups on Big Data using Apache Spark. Prog. Artif. Intell. 6(2): 145-158 (2017) - [j19]Abdulrahman H. Altalhi, José María Luna
Evaluation and comparison of open source software suites for data mining and knowledge discovery. WIREs Data Mining Knowl. Discov. 7(3) (2017) - 2016
- [j18]Amin Y. Noaman, José María Luna
Recommending degree studies according to students' attitudes in high school by means of subgroup discovery. Int. J. Comput. Intell. Syst. 9(6): 1101-1117 (2016) - [j17]Alberto Cano
LAIM discretization for multi-label data. Inf. Sci. 330: 370-384 (2016) - [j16]José María Luna
Discovering useful patterns from multiple instance data. Inf. Sci. 357: 23-38 (2016) - [j15]José María Luna
Mining exceptional relationships with grammar-guided genetic programming. Knowl. Inf. Syst. 47(3): 571-594 (2016) - [j14]José María Luna
Pattern mining: current status and emerging topics. Prog. Artif. Intell. 5(3): 165-170 (2016) - [j13]José María Luna
Speeding-Up Association Rule Mining With Inverted Index Compression. IEEE Trans. Cybern. 46(12): 3059-3072 (2016) - 2015
- [j12]José María Luna
An evolutionary algorithm for the discovery of rare class association rules in learning management systems. Appl. Intell. 42(3): 501-513 (2015) - [j11]Alberto Cano, José María Luna, Amelia Zafra, Sebastián Ventura:
A classification module for genetic programming algorithms in JCLEC. J. Mach. Learn. Res. 16: 491-494 (2015) - 2014
- [j10]José María Luna
Reducing gaps in quantitative association rules: A genetic programming free-parameter algorithm. Integr. Comput. Aided Eng. 21(4): 321-337 (2014) - [j9]José María Luna
On the adaptability of G3PARM to the extraction of rare association rules. Knowl. Inf. Syst. 38(2): 391-418 (2014) - [j8]José María Luna
On the Use of Genetic Programming for Mining Comprehensible Rules in Subgroup Discovery. IEEE Trans. Cybern. 44(12): 2329-2341 (2014) - 2013
- [j7]Cristóbal Romero
Predicting students' final performance from participation in on-line discussion forums. Comput. Educ. 68: 458-472 (2013) - [j6]José María Luna
Grammar-based multi-objective algorithms for mining association rules. Data Knowl. Eng. 86: 19-37 (2013) - [j5]Cristóbal Romero
Association rule mining using genetic programming to provide feedback to instructors from multiple-choice quiz data. Expert Syst. J. Knowl. Eng. 30(2): 162-172 (2013) - [j4]Juan Luis Olmo
Mining association rules with single and multi-objective grammar guided ant programming. Integr. Comput. Aided Eng. 20(3): 217-234 (2013) - [j3]Alberto Cano
High performance evaluation of evolutionary-mined association rules on GPUs. J. Supercomput. 66(3): 1438-1461 (2013) - 2012
- [j2]José María Luna
Design and behavior study of a grammar-guided genetic programming algorithm for mining association rules. Knowl. Inf. Syst. 32(1): 53-76 (2012) - 2011
- [j1]Cristóbal Romero
RM-Tool: A framework for discovering and evaluating association rules. Adv. Eng. Softw. 42(8): 566-576 (2011)
Conference and Workshop Papers
- 2023
- [c28]Eduardo Almeda Luna, José María Luna, Sebastián Ventura:
Radiomics Software Tools: A comparative Analysis on Breast Cancer. CBMS 2023: 542-547 - [c27]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: 1-7 - 2022
- [c26]Marco Antonio Barron
Dynamic Airline Discounts using an Evolutionary Subgroup Discovery Methodology. COINS 2022: 1-6 - [c25]Jose M. Moyano, José María Luna, Sebastián Ventura:
Improving the Performance of Multi-Label Classifiers via Label Space Reduction. COINS 2022: 1-6 - 2021
- [c24]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: 252-262 - 2020
- [c23]Philippe Fournier-Viger, Ying Wang, Jerry Chun-Wei Lin
Mining Cross-Level High Utility Itemsets. IEA/AIE 2020: 858-871 - 2019
- [c22]Carmen Luque, José María Luna, Sebastián Ventura:
MiNerDoc: a Semantically Enriched Text Mining System to Transform Clinical Text into Knowledge. CBMS 2019: 702-707 - [c21]José María Luna, Francisco Padillo, Sebastián Ventura:
Associative Classification in Big Data through a G3P Approach. IoTBDS 2019: 94-102 - 2018
- [c20]Oscar Gabriel Reyes Pupo, Jose María Moyano Murillo
A gene expression programming method for multi-target regression. LOPAL 2018: 2:1-2:6 - 2017
- [c19]Francisco Padillo, José María Luna
An evolutionary algorithm for mining rare association rules: A Big Data approach. CEC 2017: 2007-2014 - 2016
- [c18]Francisco Padillo, José María Luna
Subgroup discovery on big data: Pruning the search space on exhaustive search algorithms. IEEE BigData 2016: 1814-1823 - [c17]Francisco Padillo, José María Luna
A Data Structure to Speed-Up Machine Learning Algorithms on Massive Datasets. HAIS 2016: 365-376 - [c16]Francisco Padillo, José María Luna
Mining Perfectly Rare Itemsets on Big Data: An Approach Based on Apriori-Inverse and MapReduce. ISDA 2016: 508-518 - [c15]Francisco Padillo, José María Luna
Subgroup Discovery on Big Data: Exhaustive Methodologies Using Map-Reduce. Trustcom/BigDataSE/ISPA 2016: 1684-1691 - 2015
- [c14]Javier Bravo, Sonia J. Romero, José María Luna, Sonia Pamplona:
Exploring the Influence of ICT in online Education Through Data Mining Tools. EDM 2015: 540-543 - [c13]Manuel Ángel Jiménez-Gómez, José María Luna
Discovering clues to avoid middle school failure at early stages. LAK 2015: 300-304 - 2013
- [c12]José María Luna
Discovering Subgroups by Means of Genetic Programming. EuroGP 2013: 121-132 - 2012
- [c11]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: 148-151 - [c10]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: 180-183 - [c9]José María Luna
A genetic programming free-parameter algorithm for mining association rules. ISDA 2012: 64-69 - 2011
- [c8]Alberto Cano, José María Luna
JCLEC Meets WEKA! HAIS (1) 2011: 388-395 - [c7]Juan Luis Olmo
Association rule mining using a multi-objective grammar-based ant programming algorithm. ISDA 2011: 971-977 - [c6]José María Luna
Mining and representing rare association rules through the use of genetic programming. NaBIC 2011: 86-91 - 2010
- [c5]José María Luna
G3PARM: A Grammar Guided Genetic Programming algorithm for mining association rules. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c4]Cristóbal Romero, José Raúl Romero, José María Luna, Sebastián Ventura:
Mining Rare Association Rules from e-Learning Data. EDM 2010: 171-180 - [c3]José María Luna
Analysis of the Effectiveness of G3PARM Algorithm. HAIS (2) 2010: 27-34 - [c2]José María Luna
An intruder detection approach based on infrequent rating pattern mining. ISDA 2010: 682-688 - [c1]Juan Luis Olmo, José María Luna
An Automatic Programming ACO-Based Algorithm for Classification Rule Mining. PAAMS (Special Sessions and Workshops) 2010: 649-656
Editorship
- 2015
- [e1]Olga C. Santos, Jesus Boticario, Cristóbal Romero, Mykola Pechenizkiy, Agathe Merceron, Piotr Mitros, José María Luna, Marian Cristian Mihaescu, Pablo Moreno, Arnon Hershkovitz, Sebastián Ventura, Michel C. Desmarais:
Proceedings of the 8th International Conference on Educational Data Mining, EDM 2015, Madrid, Spain, June 26-29, 2015. International Educational Data Mining Society (IEDMS) 2015, ISBN 978-8-4606-9425-0 [contents]
Reference Works
- 2015
- [r1]José María Luna
Genetic Programming for Mining Association Rules in Relational Database Environments. Handbook of Genetic Programming Applications 2015: 431-450
Coauthor Index
[b2] [b1] [j43] [j42] [j41] [j40] [j39] [j38] [j37] [j36] [j35] [j34] [j33] [j32] [j31] [j30] [j29] [j28] [j27] [j26] [j25] [j24] [j23] [j22] [j20] [j19] [j18] [j17] [j16] [j15] [j13] [j12] [j11] [j10] [j9] [j8] [j7] [j6] [j5] [j4] [j3] [j2] [j1] [c28] [c26] [c25] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1] [e1] [r1]
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