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An intermediate representation to support association rules visualization

Fernandez-Basso, Carlos and Ruiz, M.D. and Molina-Solana, Miguel and Martin-Bautista, M.J.
Knowledge-based Systems under review, (SUBMITTED)

Abstract:

Nowadays data mining techniques are very useful and widely used in industry, business and government, the main limitation of the application of machine learning or data mining algorithms in other fields is the interpretability and complexity of the results obtained for users who are not experts in computer science or data science. In this paper, a methodology is presented for the display of association rules using an intermediate form. This technique enables an effcient processing of the rules by generating a standard format through a graph structure that allows us to adapt the rules to different display tools. Some examples of visualization using the intermediate form are also shown.

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Bibtex:

@article{Fernandez2020,
  author = {Fernandez-Basso, Carlos and Ruiz, M.D. and Molina-Solana, Miguel and Martin-Bautista, M.J.},
  title = {An intermediate representation to support association rules visualization},
  journal = {Knowledge-based Systems},
  year = {SUBMITTED},
  volume = {under review},
  doi = {},
  comment = {},
  timestamp = {28}
}