Data integration is a statistical modeling approach that incorporates multiple data sources within a unified analytical framework. Macrosystems ecology – the study of ecological phenomena at broad ...

This article focuses on data integration problems where the predictor variables for some response variable partition into known subsets. This type of data is often referred to as multi-view data, and ...

The data management discipline known as data integration (DI) has undergone an impressive expansion over the last decade. Today it has reached a critical mass of multiple techniques used in diverse ...

Genotyping techniques can be used to select fruit trees with desired traits at the seedling stage, increasing the efficiency of fruit tree breeding. However, so far, there are multiple different ...

Customers today demand great online experiences, ones that are fast, personalized, and accurate. But delivering those experiences demands instant access to relevant data, which may be scattered about ...

The National Hurricane Center is leveraging artificial intelligence (AI) to enhance storm surge forecasts, a critical step ...

Kishore Ande led a transformative data integration initiative at CNA Insurance that revolutionized how the organization processed critical daily transaction data from Managing General Underwriters ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Good decisions require good data, but pulling it all together and getting it into a format ...