Читать книгу Computational Statistics in Data Science - Группа авторов - Страница 101

Data stream analytics open doors for real‐time analysis of massive amount of data but also made a colossal danger to individual privacy [36]. As indicated by the International Data Cooperation (IDC), half of the aggregate data that needs protection is not adequately protected. Relevant and efficient privacy‐preserving solutions for interpretation, observation, evaluation, and decision for data stream mining should be designed [37]. The sensitive nature of data necessitates privacy‐preserving techniques. One of the leading privacy‐preserving techniques is perturbation [38].