Recent advances in telecommunications and database systems have allowed the scientific
community to efficiently mine vast amounts of information worldwide and to extract new …

This work introduces ClustEm4Ano, an anonymization pipeline that can be used for
generalization and suppression-based anonymization of nominal textual tabular data. It …

This work develops a user linkage method for anonymized social networks under differential
privacy. The existing works have primarily focused on multi-dimensional features of user …

Time is an often recurring quasi-identifying attribute in many datasets. Anonymizing such
datasets requires generalizing the time attribute (s) in the dataset. Examples are start dates …

Distribution networks are undergoing a transition due to the rapid increase in distributed
energy resources (DERs). Concerns over revealing critical infrastructure information and …

Sentiment analysis has been a prominent research domain under data analytics whose
outcomes have immensely contributed to business growth. Consumers being an integral …

Privacy preserving is a paramount concern in publishing datasets that contain sensitive
information. Preventing privacy disclosure and providing useful information to legitimate …

Nowadays, digital communications are pervasive and as such, they carry a huge amount of
both professional and private information all around the world. Given the knowledge that can …

Companies increasingly rely on massive amounts of data for strategic decision making
purposes. In order to optimize business intelligence, companies often try to enrich their …

Many organizations, especially small and medium business (SMB) enterprises require the
collection and sharing of data containing personal information. The privacy of this data must …