Miguel Molina-Solana

Data mining techniques are currently highly useful and widely used in industry, business and government. However, their broad adoption is sometimes limited because non-expert users are required to accurately interpret and deal with the complex results obtained. In this paper, we put forward a methodology for the display of association rules using an intermediate form. This technique enables efficient processing of the rules by generating a standard format through a graph structure that allows us to adapt the rules to different display tools. We also show some illustrative examples of the usefulness of this intermediate form.

@article{Fernandez2024,
  author = {Fernandez-Basso, Carlos and Ruiz, M.D. and Molina-Solana, Miguel and Martin-Bautista, M.J.},
  title = {VizARE: An intermediate representation to support the visualization of association rules in data mining},
  journal = {Future Internet},
  year = {2026},
  volume = {18},
  number. = {7},
  articleno = {134},
  doi = {10.3390/fi18070374},
  pdf = {},
  timestamp = {50}
}