This data stored across multiple cloud environments, on-premises systems and SaaS applications has overwhelmed traditional classification methods.

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

Successful completion of this course demonstrate your achievement of the following learning outcomes for the MS-DS program: Identify the core functionalities of data modeling in the data mining ...

Both methods have their own challenges. When data classification is left to the end user, training is required for data classification to be correct.

Effective data protection hinges on data classification and risk assessment. This article explores how classifying data based on sensitivity enables targeted security measures and efficient ...

HR departments handle sensitive, context-based people data, so they need a more nuanced classification approach than traditional models.