Ethics Lines and Machine Learning: A Design and Simulation of an Association Rules Algorithm for Exploiting the Data
Ethics Lines and Machine Learning: A Design and Simulation of an Association Rules Algorithm for Exploiting the Data作者机构：Department of Philosophy and Sociology Universitat Jaume I Castellon Spain Universitat Jaume I and Mirada TV Castellon Spain
出 版 物：《Journal of Computer and Communications》 (电脑和通信（英文）)
年 卷 期：2021年第9卷第12期
页 面：17-37页
学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）]
主 题：Data Mining Ethics Lines Association Rules Apriori Algorithm Company
摘 要：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.
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