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VizARE: 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.
Engineering Applications of Artificial Intelligence (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 often have difficulties interpreting and dealing with the complex results obtained. In this paper, we propose an intermediate representation for the output of association rule algorithms which makes possible on the one hand to obtain an efficient information structure from any algorithm and, on the other hand, to offer a wide variety of different visualization tools for association rules display. This technique enables efficient processing of the rules by generating a standard format through a graph structure that allows the efficient visualization of a large volume of rules using different visualization tools. We also show some illustrative examples of the usefulness of this intermediate form.

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Bibtex:

@article{Fernandez2022,
  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 = {Engineering Applications of Artificial Intelligence},
  year = {SUBMITTED},
  volume = {(under review)},
  doi = {},
  comment = {},
  timestamp = {34}
}