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 ...

Aurore Delaigle, Peter Hall, Achieving near perfect classification for functional data, Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 74, No. 2 (MARCH 2012), pp.

You need to know where your data is, what it is, its governance requirements and relationship to the rest of your data. We look at data classification and how AI can help ...

A new set of China data classification standards helps companies and regulators identify different types of data for regulatory compliance.

This patent from Hui Xuan Information Technology employs a neighborhood segmentation coefficient set for the intelligent segmentation of material inventory data by acquiring the dataset of materials ...

This article discusses statistical and data mining methods used in credit scoring, highlighting their applications and effectiveness in evaluating credit risk.

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

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 ...