Central Limit Theorems have a fundamental role in statistics and in a wide range of practical
applications. The most famous formulation was proposed by Lindeberg–Lévy and it requires …

Frequency estimation mechanisms are widely applied in domains such as machine learning
and cloud computing, where it is desirable to provide statistical information. As a …

Randomized response, as a basic building-block for differentially private mechanism, has
given rise to great interest and found various potential applications in science communities …

Starting from our previous research where we in-troduced a general framework for
supporting data-driven privacy-preserving big data management in distributed …

Privacy-preserving big data management and analytics is gaining the momentum within the
research community, and several current research efforts aim to provide solutions to the …

The Heuristic-Based Analysis method, which is otherwise known as Behavioural-Based
Analysis technique applied by several Anti-Virus and Anti-Malware vendors of computer …

Nowadays using data mining techniques is very important for many modern industrial
systems. They could help to decide different tasks in these systems related with decision …

With the development of modern industry and information technology, data resources have
become more and more important factors of production. Big Data thinking is the product of …

While several research efforts have been developed in the context of privacy-preserving big
data management and analytics re-cently, relevant challenges arise when such models …

The data volume increases every day and the next wave of apps cannot be envisaged
without the created and executed data-driven algorithms. In this post, we undertook an …