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 …

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 …

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 …

Medicinal plants provide immunity against diseases and can also be taken in a
precautionary sense against them. It is pivotal to know the benefits of these plants against …

Privacy preservation is increasingly crucial in e-Health systems, particularly within the realm
of privacy-preserving data mining, which aims to reveal underlying patterns while …

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 …

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 …

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 …

It is crucial, while using healthcare data, to assess the advantages of data privacy against
the possible drawbacks. Data from several sources must be combined for use in many data …