José María Luna

Orcid: 0000-0003-3537-2931

According to our database1, José María Luna authored at least 72 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2024
Efficient Frequent Chronicle Mining Algorithms: Application to Sleep Disorder.
IEEE Access, 2024

2023
A contrast set mining based approach for cancer subtype analysis.
Artif. Intell. Medicine, September, 2023

Efficient mining of top-<i>k</i> high utility itemsets through genetic algorithms.
Inf. Sci., May, 2023

Discovering Fuzzy Partial Periodic Patterns in Quantitative Irregular Multiple Time Series.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2023

Radiomics Software Tools: A comparative Analysis on Breast Cancer.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

2022
Subgroup discovery in MOOCs: a big data application for describing different types of learners.
Interact. Learn. Environ., 2022

Improving the understanding of cancer in a descriptive way: An emerging pattern mining-based approach.
Int. J. Intell. Syst., 2022

Course Recommendation based on Sequences: An Evolutionary Search of Emerging Sequential Patterns.
Cogn. Comput., 2022

Reducing the Label Space a Predefined Ratio for a More Efficient Multilabel Classification.
IEEE Access, 2022

Facing Up Fare War: Generating Competitive Price Models With Gene Expression Programming.
IEEE Access, 2022

Improving the Performance of Multi-Label Classifiers via Label Space Reduction.
Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2022

Dynamic Airline Discounts using an Evolutionary Subgroup Discovery Methodology.
Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2022

2021
Mining local periodic patterns in a discrete sequence.
Inf. Sci., 2021

Discovering Relative High Utility Itemsets in Very Large Transactional Databases Using Null-Invariant Measure.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
LAC: Library for associative classification.
Knowl. Based Syst., 2020

Exceptional in so Many Ways - Discovering Descriptors That Display Exceptional Behavior on Contrasting Scenarios.
IEEE Access, 2020

Extracting User-Centric Knowledge on Two Different Spaces: Concepts and Records.
IEEE Access, 2020

Mining Cross-Level High Utility Itemsets.
Proceedings of the Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices, 2020

2019
An advanced review on text mining in medicine.
WIREs Data Mining Knowl. Discov., 2019

Frequent itemset mining: A 25 years review.
WIREs Data Mining Knowl. Discov., 2019

Subgroup Discovery on Multiple Instance Data.
Int. J. Comput. Intell. Syst., 2019

A Grammar-Guided Genetic Programing Algorithm for Associative Classification in Big Data.
Cogn. Comput., 2019

Associative Classification in Big Data through a G3P Approach.
Proceedings of the 4th International Conference on Internet of Things, 2019

MiNerDoc: a Semantically Enriched Text Mining System to Transform Clinical Text into Knowledge.
Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019

2018
Apriori Versions Based on MapReduce for Mining Frequent Patterns on Big Data.
IEEE Trans. Cybern., 2018

Mining Context-Aware Association Rules Using Grammar-Based Genetic Programming.
IEEE Trans. Cybern., 2018

Optimization of quality measures in association rule mining: an empirical study.
Int. J. Comput. Intell. Syst., 2018

Mining association rules on Big Data through MapReduce genetic programming.
Integr. Comput. Aided Eng., 2018

A gene expression programming method for multi-target regression.
Proceedings of the International Conference on Learning and Optimization Algorithms: Theory and Applications, 2018

Supervised Descriptive Pattern Mining
Springer, ISBN: 978-3-319-98139-0, 2018

2017
Evaluation and comparison of open source software suites for data mining and knowledge discovery.
WIREs Data Mining Knowl. Discov., 2017

Exhaustive search algorithms to mine subgroups on Big Data using Apache Spark.
Prog. Artif. Intell., 2017

MDM tool: A data mining framework integrated into Moodle.
Comput. Appl. Eng. Educ., 2017

An evolutionary algorithm for mining rare association rules: A Big Data approach.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
Speeding-Up Association Rule Mining With Inverted Index Compression.
IEEE Trans. Cybern., 2016

Pattern mining: current status and emerging topics.
Prog. Artif. Intell., 2016

Mining exceptional relationships with grammar-guided genetic programming.
Knowl. Inf. Syst., 2016

Discovering useful patterns from multiple instance data.
Inf. Sci., 2016

LAIM discretization for multi-label data.
Inf. Sci., 2016

Recommending degree studies according to students' attitudes in high school by means of subgroup discovery.
Int. J. Comput. Intell. Syst., 2016

Subgroup Discovery on Big Data: Exhaustive Methodologies Using Map-Reduce.
Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, 2016

Mining Perfectly Rare Itemsets on Big Data: An Approach Based on Apriori-Inverse and MapReduce.
Proceedings of the Intelligent Systems Design and Applications, 2016

A Data Structure to Speed-Up Machine Learning Algorithms on Massive Datasets.
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016

Subgroup discovery on big data: Pruning the search space on exhaustive search algorithms.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Pattern Mining with Evolutionary Algorithms
Springer, ISBN: 978-3-319-33858-3, 2016

2015
Genetic Programming for Mining Association Rules in Relational Database Environments.
Proceedings of the Handbook of Genetic Programming Applications, 2015

A classification module for genetic programming algorithms in JCLEC.
J. Mach. Learn. Res., 2015

An evolutionary algorithm for the discovery of rare class association rules in learning management systems.
Appl. Intell., 2015

Discovering clues to avoid middle school failure at early stages.
Proceedings of the Fifth International Conference on Learning Analytics And Knowledge, 2015

Exploring the Influence of ICT in online Education Through Data Mining Tools.
Proceedings of the 8th International Conference on Educational Data Mining, 2015

2014
On the Use of Genetic Programming for Mining Comprehensible Rules in Subgroup Discovery.
IEEE Trans. Cybern., 2014

On the adaptability of G3PARM to the extraction of rare association rules.
Knowl. Inf. Syst., 2014

Reducing gaps in quantitative association rules: A genetic programming free-parameter algorithm.
Integr. Comput. Aided Eng., 2014

2013
High performance evaluation of evolutionary-mined association rules on GPUs.
J. Supercomput., 2013

Mining association rules with single and multi-objective grammar guided ant programming.
Integr. Comput. Aided Eng., 2013

Association rule mining using genetic programming to provide feedback to instructors from multiple-choice quiz data.
Expert Syst. J. Knowl. Eng., 2013

Grammar-based multi-objective algorithms for mining association rules.
Data Knowl. Eng., 2013

Predicting students' final performance from participation in on-line discussion forums.
Comput. Educ., 2013

Discovering Subgroups by Means of Genetic Programming.
Proceedings of the Genetic Programming - 16th European Conference, 2013

2012
Design and behavior study of a grammar-guided genetic programming algorithm for mining association rules.
Knowl. Inf. Syst., 2012

A genetic programming free-parameter algorithm for mining association rules.
Proceedings of the 12th International Conference on Intelligent Systems Design and Applications, 2012

Meta-learning Approach for Automatic Parameter Tuning: A case of study with educational datasets.
Proceedings of the 5th International Conference on Educational Data Mining, 2012

Classification via clustering for predicting final marks starting from the student participation in Forums.
Proceedings of the 5th International Conference on Educational Data Mining, 2012

2011
RM-Tool: A framework for discovering and evaluating association rules.
Adv. Eng. Softw., 2011

Mining and representing rare association rules through the use of genetic programming.
Proceedings of the Third World Congress on Nature & Biologically Inspired Computing, 2011

Association rule mining using a multi-objective grammar-based ant programming algorithm.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

JCLEC Meets WEKA!
Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011

2010
An Automatic Programming ACO-Based Algorithm for Classification Rule Mining.
Proceedings of the Trends in Practical Applications of Agents and Multiagent Systems, 2010

An intruder detection approach based on infrequent rating pattern mining.
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010

Analysis of the Effectiveness of G3PARM Algorithm.
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

Mining Rare Association Rules from e-Learning Data.
Proceedings of the Educational Data Mining 2010, 2010

G3PARM: A Grammar Guided Genetic Programming algorithm for mining association rules.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010


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