Argitalpenak (18) JOSÉ MARIA LUNA ARIZA argitalpenak

2019

  1. A Grammar-Guided Genetic Programing Algorithm for Associative Classification in Big Data

    Cognitive Computation, Vol. 11, Núm. 3, pp. 331-346

  2. An advanced review on text mining in medicine

    Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Vol. 9, Núm. 3

  3. Associative classification in big data through a G3P approach

    IoTBDS 2019 - Proceedings of the 4th International Conference on Internet of Things, Big Data and Security

  4. Frequent itemset mining: A 25 years review

    Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Vol. 9, Núm. 6

  5. MiNerDoc: A semantically enriched text mining system to transform clinical text into knowledge

    Proceedings - IEEE Symposium on Computer-Based Medical Systems

  6. Subgroup discovery on multiple instance data

    International Journal of Computational Intelligence Systems, Vol. 12, Núm. 2, pp. 1602-1612

2018

  1. A gene expression programming method for multi-target regression

    ACM International Conference Proceeding Series

  2. Análisis del nivel de atención de los alumnos en clase utilizando Neurosky’s Mindwave Mobile

    Revista de innovación y buenas prácticas docentes, Vol. 5, Núm. 5, pp. 57-62

  3. Apriori versions based on mapreduce for mining frequent patterns on big data

    IEEE Transactions on Cybernetics, Vol. 48, Núm. 10, pp. 2851-2865

  4. Mining context-aware association rules using grammar-based genetic programming

    IEEE Transactions on Cybernetics, Vol. 48, Núm. 11, pp. 3030-3034

  5. Optimization of quality measures in association rule mining: An empirical study

    International Journal of Computational Intelligence Systems, Vol. 12, Núm. 1, pp. 59-78

  6. Supervised Descriptive Pattern Mining

    Springer International Publishing, pp. 1-185

2017

  1. An evolutionary algorithm for mining rare association rules: A Big Data approach

    2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings

  2. Evaluation and comparison of open source software suites for data mining and knowledge discovery

    Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Vol. 7, Núm. 3

  3. Exhaustive search algorithms to mine subgroups on Big Data using Apache Spark

    Progress in Artificial Intelligence, Vol. 6, Núm. 2, pp. 145-158

  4. MDM tool: A data mining framework integrated into Moodle

    Computer Applications in Engineering Education, Vol. 25, Núm. 1, pp. 90-102

  5. Mining association rules on Big Data through MapReduce genetic programming

    Integrated Computer-Aided Engineering, Vol. 25, Núm. 1, pp. 31-48

  6. Mining perfectly rare itemsets on big data: An approach based on apriori-inverse and mapreduce

    Advances in Intelligent Systems and Computing