In the last decades, pervasive computing is generating a growing quantity of data. Data
mining (DM) technology has become increasingly popular. However, the excessive …

Abstract Association Rule Hiding (ARH) is the process of protecting sensitive knowledge
using data transformation. Although there are some evolutionary-based ARH algorithms …

The data mining sanitization process involves converting the data by masking the sensitive
data and then releasing it to public domain. During the sanitization process, side effects …

Data sanitization in the context of Internet of Things (IoT) privacy refers to the process of
permanently and irreversibly hiding all sensitive information from vast amounts of streaming …

Privacy protection has become a predominant concern in big data analysis. Privacy-
Preserving Association Rule Mining (PPARM) is a process in which original data is …

Due to the wide adoption and deployment of the Internet of Things (IoT), massive amounts of
data are being generated and shared across various sectors. Privacy disclosure is a major …

Association rule hiding is an efficient solution that helps organizations to avoid the risk
caused by sensitive knowledge leakage when sharing data in their collaborations. Cuckoo …

The data mining sanitization process involves converting the data by masking the sensitive
data and then releasing it to public domain. During the sanitization process, side effects …

Protecting privacy when using collaborative association rule learning is crucial and has
been applied extensively in medical research. Hospitals create a staggering amount of data …

In the present era, there is a tremendous generation of transactional data due to e-
commerce activities and traditional retail sales. Different organizations want to analyze the …