Real-world predictive data mining (classification or regression) problems are often cost sensitive, meaning that different types of prediction errors are not equally costly. While cost-sensitive ...

Data mining and knowledge discovery represent an integrative process through which large, complex and heterogeneous datasets are transformed into actionable insights. This field encompasses a series ...

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 online data science specialization is intended for both data science professionals and domain experts who want to learn about fundamental concepts and core techniques in data mining for ...

AMES, Iowa – The immense number of possible hybrids that can be created from inbred corn plants can leave plant breeders wondering where to start when attempting to produce new crop varieties with ...

A guide to what data mining is, how it works, and why it's important. Big data is everywhere we look these days. Businesses are falling all over themselves to hire 'data scientists,' privacy advocates ...

Forbes contributors publish independent expert analyses and insights. I decode analytics for business people. This article is more than 9 years old. Analytics initiatives are not failure proof. In ...

Business intelligence analysts, marketers, and analytics mavens use many tools and techniques to extract useful information from all the meaningful data people generate every moment in every aspect of ...

The UK government has published its highly anticipated consultation on copyright and AI. The focus of the consultation is the use of copyright works in AI model training, however, the government is ...