  Data mining techniques offer great opportunities for developing ethics lines,
tools for communication, participation and innovation whose main aim is to
ensure improvements and compliance with the values, conduct and commitments
making up the code of ethics. The aim of this study is to suggest a process for
exploiting the data generated by the data generated and collected from an
ethics line by extracting rules of association and applying the Apriori
algorithm. This makes it possible to identify anomalies and behaviour patterns
requiring action to review, correct, promote or expand them, as appropriate.
Finally, I offer a simulated application of the Apriori algorithm, supplying it
with synthetic data to find out its potential, strengths and limitations.
