Classification and regression trees are ideally suited for the analysis of complex ecological data. For such data, we require flexible and robust analytical methods, which can deal with nonlinear ...

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 ...

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.

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 ...

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