Discovering reliable evidence of data misuse by exploiting rule redundancy

• Published in: Computers & security Vol. 87; p. 101577
• Main Authors: Genga, Laura, Zannone, Nicola, Squicciarini, Anna
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier Ltd 01.11.2019; Elsevier Sequoia S.A
• Subjects: Big Data; Classification rules; Data analysis; Data mining; Data misuse detection; Decision making; Redundancy; Redundancy reduction; Rule evaluation; Redundancy reduction; Classification rules; Rule evaluation; Data mining; Data misuse detection

Big Data offers opportunities for in-depth data analytics and advanced personalized services. Yet, while valuable, data analytics might rely on data that should not have been used due to, e.g., privacy constraints from the data subject or regulations. As decision makers and data controllers often ac...