Inaccurate or overlooked alerts on manufacturing data can be reduced with proper data handling when developing and deploying predictive models. Data analytics, and specifically predictive analytics, ...

Modeling of a new domain can be challenging due to scarce data and high-dimensionality. Transfer learning aims to integrate data of the new domain with knowledge about some related old domains, to ...

The Annals of the American Academy of Political and Social Science, Vol. 692, Toward a Better Approach to Preventing, Identifying, and Addressing Child Maltreatment (NOVEMBER 2020), pp. 162-181 (20 ...

What are the different types of predictive modeling? Your email has been sent Predictive modeling is a type of data mining that is used in a variety of situations and industries. This process involves ...

DALLAS--(BUSINESS WIRE)--CCS — leading provider of clinical solutions and home-delivered medical supplies for those living with chronic conditions — today announced PropheSee ™ a new, AI-powered ...