Data Warehouse (DW) is a common term used in the Data Mining process for storing
copious amounts of data ready for analysis. Organizations are starting to prioritize Data …

Privacy protection has recently been in the spotlight of attention to both academia and
industry. Society protects individual data privacy through complex legal frameworks. The …

The edge, the fog, the cloud, and even the end-user's devices play a key role in the
management of the health sensitive content/data lifecycle. However, the creation and …

With the development of big data and cloud computing technologies, the importance of
pseudonym information has grown. However, the tools for verifying whether the de …

Dynamic data masking (DDM) is a powerful data-security technique for protecting personal
and other sensitive information in databases from unauthorized access. A DDM can be used …

The proliferation of online social networking websites has resulted in the growth of online
communities and increased communication among users. However, sharing personal …

Mining the core value of Industrial Internet of Things (IIoT) data safely and reducing the risk
of malicious attacks are the inherent requirements of industrial data visualization …

A masking system and method for automatically masking sensitive user information on a
webpage is provided. The method includes the steps of identifying a location of the first user …

Business Intelligence (BI) is quickly becoming a very important tool for all aspects of data
analytics. An area that lacks a strong implementation for BI is the healthcare field. BI …

Explainable models are a critical requirement for predictive analytics applications in the
healthcare domain. In this work we develop a hypothetical clinical decision support system …