Introduction: Recently, the tendency of artificial intelligence (AI) and big data
use/applications has been rapidly expanding across the globe, improving people's lifestyles …

New technologies pose new challenges on the protection of privacy and they stimulate new
debates on the scope of privacy. Such debates usually concern the individuals' right to …

Purpose User profiling with big data raises significant issues regarding privacy. Privacy
studies typically focus on individual privacy; however, in the era of big data analytics, users …

Until now, privacy protections have focused on guaranteeing individuals a measure of
control over information relating to themselves. However, in the digital age, this protection …

This book had its genesis in a serendipitous conversation between Linnet Taylor and
Luciano Floridi at the Oxford Internet Institute in early 2014. Subsequently, Mireille …

Mature information societies are characterised by mass production of data that provide
insight into human behaviour. Analytics (as in big data analytics) has arisen as a practice to …

Luciano Floridi was not the first to discuss the idea of group privacy, but he was perhaps the
first to discuss it in relation to the insights derived from big data analytics. He has argued that …

Machine learning and data mining threaten personal privacy, and many tools exist to help
users protect their privacy (eg, available privacy settings on Facebook, anonymization and …

This chapter argues that group privacy is a necessary element of a global perpective on
privacy. Addressing the problem as a new epistemological phenomenon generated by big …

Clustering technique plays a critical role in data mining, and has received great success to
solve application problems like community analysis, image retrieval, personalized …