Purdue University academic and administrative data are important university resources and assets. Data used by the University often contains detailed information about Purdue University as well as ...

All SUNY Cortland’s data must be classified into one of the three categories and protected using appropriate security measures consistent with the minimum standards for the classification level as ...

As organizations evolve, traditional data classification—typically designed for regulatory, finance or customer data—is being stretched to accommodate employee data. While classification processes and ...

When it comes to managing data, we need to know where it is – but we also need to know what it is. With the rise in regulatory controls, enterprises now pay more attention to data sovereignty, ...

In today's digital landscape, organizations face an unprecedented challenge: managing and protecting ever-growing volumes of data spread across multiple environments. As someone deeply involved in ...

Figuring out what information should be classified and controlling access to it has been an eternal headache for defense and national security organizations—a headache that got a lot of attention ...

In an era where sensitive data is a prime target for cyberattacks and compliance violations, effective data classification is the critical first step in safeguarding information. Recognizing the ...

The Mahalanobis-Taguchi System (MTS) has evolved into a robust tool for multivariate data classification and optimisation, merging statistical distance measures with the design philosophy of robust ...

Feature selection and classification are central to biomedical data analysis, enabling researchers to distil high-dimensional datasets into manageable, informative subsets and accurately categorise ...