Anonymization is a practical solution for preserving user's privacy in data publishing. Data
owners such as hospitals, banks, social network (SN) service providers, and insurance …

With the continuous increase in avenues of personal data generation, privacy protection has
become a hot research topic resulting in various proposed mechanisms to address this …

In recent years, an explosive growth of social networks has been made publicly available for
understanding the behavior of users and data mining purposes. The main challenge in …

Owning to the massive growth in internet connectivity, smartphone technology, and digital
tools, the use of various online social networks (OSNs) has significantly increased. On the …

Social networks provide an attractive environment in order to have low cost and easy
communication; however, analyzing huge amounts of produced data can considerably affect …

Privacy concerns of users threaten the usage of online social networks (OSN). In this regard,
privacy preserving of OSN emerged as a convincing solution for preserving the privacy of …

Cloud-based expert systems are highly emerging nowadays. However, the data owners and
cloud service providers are not in the same trusted domain in practice. For the sake of data …

With the emergence of network-centric data, social network graph publishing is conducive to
data analysts to mine the value of social networks, analyze the social behavior of individuals …

The development of several popular social networks and the publication of social networks'
data have led to the risk of leakage of sensitive and confidential information of individuals …

Incremental learning is an efficient computational paradigm of acquiring approximate
knowledge of data in dynamic environment. Most of the research focuses on knowledge …