The 2nd International Workshop on Personal Analytics and Privacy (PAP 2018)

摘要

In the era of Big Data, every single user of our hyper-connected world leaves behind a myriad of digital breadcrumbs while performing her daily activities. This enormous amount of personal data can be exploited to improve the lifestyle of each individual by extracting and analyzing user's behavioral patterns like the items frequently purchased, the routinary movements, the favorite sequence of songs listened, etc. Moreover, users have a very limited capability to control and exploit their personal data: although some user-centric models like the Personal Information Management System and the Personal Data Store are emerging, currently there is still a significant lack in terms of algorithms and models specifically designed to capture the knowledge from individual data and to ensure privacy protection in a user-centric scenario.