Publikationen, an denen er mitarbeitet MARÍA JOSÉ DEL JESÚS DÍAZ (47)

2023

  1. A distributed evolutionary fuzzy system-based method for the fusion of descriptive emerging patterns in data streams

    Information Fusion, Vol. 91, pp. 412-423

2021

  1. A Preliminary Many Objective Approach for Extracting Fuzzy Emerging Patterns

    Advances in Intelligent Systems and Computing

  2. A Preliminary Many Objective Approach for Extracting Fuzzy Emerging Patterns

    15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020): Burgos, Spain ; September 2020

  3. A cellular-based evolutionary approach for the extraction of emerging patterns in massive data streams

    Expert Systems with Applications, Vol. 183

2020

  1. FEPDS: A Proposal for the Extraction of Fuzzy Emerging Patterns in Data Streams

    IEEE Transactions on Fuzzy Systems, Vol. 28, Núm. 12, pp. 3193-3203

2019

  1. A Big Data Approach for the Extraction of Fuzzy Emerging Patterns

    Cognitive Computation, Vol. 11, Núm. 3, pp. 400-417

  2. Subgroup discovery on multiple instance data

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

2018

  1. A unifying analysis for the supervised descriptive rule discovery via the weighted relative accuracy

    Knowledge-Based Systems, Vol. 139, pp. 89-100

  2. An overview of emerging pattern mining in supervised descriptive rule discovery: taxonomy, empirical study, trends, and prospects

    Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Vol. 8, Núm. 1

  3. Atipicidad: medida de calidad clave dentro del descubrimiento de reglas descriptivas supervisadas

    XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España

  4. Improvement of subgroup descriptions in noisy data by detecting exceptions

    Progress in Artificial Intelligence, Vol. 7, Núm. 1, pp. 55-64

  5. MOEA-EFEP: Multi-Objective Evolutionary Algorithm for Extracting Fuzzy Emerging Patterns

    IEEE Transactions on Fuzzy Systems, Vol. 26, Núm. 5, pp. 2861-2872

  6. MOEA-EFEP: un algoritmo evolutivo multi-objetivo para la extracción de patrones emergentes difusos

    XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España

  7. Pareto based ensemble with feature and instance selection for learning from multi-class imbalanced datasets

    XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España

  8. Una primera aproximación para la extracción de patrones emergentes en flujos continuos de datos

    XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España

2017

  1. A first approach to handle fuzzy emerging patterns mining on big data problems: The EvAEFP-spark algorithm

    IEEE International Conference on Fuzzy Systems

  2. Analysing Concentrating Photovoltaics Technology Through the Use of Emerging Pattern Mining

    International Joint Conference SOCO’16-CISIS’16-ICEUTE’16: San Sebastián, Spain, October 19th-21st, 2016 Proceedings

  3. Analysing concentrating photovoltaics technology through the use of emerging pattern mining

    Advances in Intelligent Systems and Computing

  4. MEFASD-BD: Multi-objective evolutionary fuzzy algorithm for subgroup discovery in big data environments - A MapReduce solution

    Knowledge-Based Systems, Vol. 117, pp. 70-78

2016

  1. A View on Fuzzy Systems for Big Data: Progress and Opportunities

    International Journal of Computational Intelligence Systems, Vol. 9, pp. 69-80