About us

This symposium provides a forum for researchers seeking to extract useful knowledge from large volumes of information using Data Mining methods. Data Mining techniques have become a fundamental tool in scientific and technical research as a method of analysis and knowledge discovery based on observation data or experimental results for decision making in the control of productive processes, systems planning, marketing, etc. The participation of the Spanish Network of Data Mining and Learning in the XIX Conference of the Spanish Association for Artificial Intelligence CAEPIA 20/21 aims to exchange ideas and knowledge that will contribute to the advancement of this line of research and enable its transfer to society.

Contact: tamida20-21@easychair.org

Chairs

  • Alicia Troncoso, Universidad Pablo de Olavide
  • José C. Riquelme, Universidad de Sevilla

Topics

Topics of interest include, but are not limited to the following:

  • AUTOMATIC LEARNING ALGORITHMS AND TECHNIQUES
    • Feature selection
    • Classification
    • Clustering
    • Parametric and non-parametric statistical techniques
    • Soft-computing
    • Discovery of rules
    • Instances based
    • Scalable algorithms
    • Incremental algorithms
    • Ensembles
  • PATTERN RECOGNITION
  • DEEP LEARNING
  • LEARNING ASSESSMENT
    • Design of experiments
    • Statistical tests
  • DATA PRE-PROCESSING
    • Data reduction and/or transformation
    • Uncertainty and incomplete data
    • Discretion
    • Unbalanced data
  • MINING ON DIFFERENT TYPES OF DATA
    • Texts
    • Temporary
    • Space
    • Flows (streams)
    • Networks
    • Multimedia
  • ADVANCED LEARNING PARADIGMS IN DATA MINING
    • Unbalanced learning
    • Multi-instance Learning
    • Multi-label and multi-target
    • Prediction with ordinal outputs
    • Semi-supervised or weakly supervised learning
    • Cluster Discovery and Exception Mining
  • BIG DATA MINING
  • VISUAL DATA MINING
  • DATABASES AND DATA MINING
    • OLAP
    • Data Mining query
    • Relational Data Mining
  • DATA MINING APPLICATIONS
    • Biomedical databases
    • Industrial production processes
    • Environmental problems
    • Financial or commercial problems
    • Web Mining
    • Social Mining

Submissions

Authors are requested to submit original, unpublished works written in Spanish or English. Papers should be submitted in IEEE format (available in Word and LaTeX2e) of up to six pages.

Submission of papers to TAMIDA 20/21 requires a previous registration in the easychair system.

Program Committee

InvestigadorInstitución
Alicia Troncoso LoraUniversidad Pablo de Olavide
José C. RiquelmeUniversidad de Sevilla
Salvador García LópezUniversidad de Granada
Emilio CorchadoUniversidad de Salamanca
Francesc J. FerriUniversidad de Valencia
Francisco HerreraUniversidad de Granada
César HervásUniversidad de Córdoba
Pedro GonzálezUniversidad de Jaén
José A. LozanoUniversidad del País Vasco
José del CampoUniversidad de Málaga
Juan J. RodríguezUniversidad de Burgos
José Hernández OralloUniversidad Politécnica de Valencia
Juan J. del CozUniversidad de Oviedo
Karina GibertUniversidad Politécnica de Cataluña
Alberto CanoVirginia Commonwealth University
Miquel Sànchez i MarrèUniversidad Politécnica de Cataluña
Mª José del JesúsUniversidad de Jaén
Mª José RamírezUniversidad Politécnica de Valencia
Nicolás García PedrajasUniversidad de Córdoba
Olatz ArbelaitzUniversidad del País Vasco
Antonio BahamondeUniversidad de Oviedo
Óscar CordónUniversidad de Granada
María Pérez-OrtízUniversity College London
Pedro LarrañagaUniversidad Politécnica de Madrid
Sebastián VenturaUniversidad de Córdoba
Francisco Martínez ÁlvarezUniversidad Pablo de Olavide
María Martínez BallesterosUniversidad de Sevilla

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Organization