Protecting the privacy of healthcare information is an important part of encouraging data
custodians to give accurate records so that mining may proceed with confidence. The …

The current state of Association Rule Mining (ARM) technology is heading towards a critical
yet profitable direction. The ARM process uncovers numerous association rules, determining …

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 …

Data mining techniques, while allowing the individuals to extract hidden knowledge on one
hand, introduce a number of privacy threats on the other hand. In this paper, we study some …

With the growing significance of Credit Risk Analysis (CRA) with a focus on privacy, there is
a pressing demand for a Privacy Preserving Machine Learning (PPML) decision support …

Cyber resilience is the business capability of handling the risks and preparing themselves
for responding and recovering from risks. Being a cyber resilient the organization is capable …

Association rules (AR) are a common data classification method. It can create more value by
studying how to better mine user information and establish connections between these large …

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 increased collection, storage and analysis of personspecific data cause serious
challenges to the protection of the identities to which such data correspond. In various …

Pattern mining is a core objective within data mining, involving the detection of frequent
itemsets (collections of values) within databases. This process serves to extract valuable …