Ethics Lines and Machine Learning: A Design and Simulation of an Association Rules Algorithm for Exploiting the Data
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comunitat-uji-handle3:10234/8633
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INVESTIGACIONMetadades
Títol
Ethics Lines and Machine Learning: A Design and Simulation of an Association Rules Algorithm for Exploiting the DataData de publicació
2021-12-23Editor
Scientific Research PublishingISSN
2327-5219; 2327-5227Cita bibliogràfica
Calvo, P. and Egea-Moreno, R. (2021) Ethics Lines and Machine Learning: A Design and Simulation of an Association Rules Algorithm for Exploiting the Data. Journal of Computer and Communications, 9, 17-37. doi: 10.4236/jcc.2021.912002.Tipus de document
info:eu-repo/semantics/articleVersió
info:eu-repo/semantics/publishedVersionParaules clau / Matèries
Resum
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 ... [+]
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. [-]
Publicat a
Journal of Computer and Communications, 2021, 9, 17-37Entitat finançadora
Ministerio de Ciencia, Innovación y Universidades (Spain) | European Commission
Codi del projecte o subvenció
PID2019-109078RB-C21 | info:eu-repo/grantAgreement/EC/H2020/872360
Títol del projecte o subvenció
Applied Ethics and Reliability for Artificial Intelligence | Ethical governance system for RRI in higher education, funding and research centers
Drets d'accés
info:eu-repo/semantics/openAccess
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