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

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

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

Data classification may not be a new concept, but it is a crucial one in the information security landscape. It’s vital because once you classify data into its type, level of access, and protection ...

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 ...

An updated emergency visit classification tool enables managers to make valid inferences about levels of appropriateness of emergency department utilization and healthcare needs within a population.

A new review published in Artificial Intelligence and Autonomous Systems（AIAS） highlights how artificial intelligence can ...