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An intermediate representation to support the visualization of association rules in data mining

Fernandez-Basso, Carlos and Ruiz, M.D. and Molina-Solana, Miguel and Martin-Bautista, M.J.
Applied Soft Computing (under review) (SUBMITTED)

Abstract:

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 not able to rightly 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 an 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.

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Bibtex:

@article{Fernandez2021,
  author = {Fernandez-Basso, Carlos and Ruiz, M.D. and Molina-Solana, Miguel and Martin-Bautista, M.J.},
  title = {An intermediate representation to support  the visualization of association rules in data mining},
  journal = {Applied Soft Computing},
  year = {SUBMITTED},
  volume = {(under review)},
  doi = {},
  comment = {},
  timestamp = {33}
}