TITLE:
Ethics Lines and Machine Learning: A Design and Simulation of an Association Rules Algorithm for Exploiting the Data
AUTHORS:
Patrici Calvo, Rebeca Egea-Moreno
KEYWORDS:
Data Mining, Ethics Lines, Association Rules, Apriori Algorithm, Company
JOURNAL NAME:
Journal of Computer and Communications,
Vol.9 No.12,
December
23,
2021
ABSTRACT: Data mining techniques offer great opportunities for developing ethics lines 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.