Geospatial data integration and matching techniques are pivotal in reconciling spatial information from diverse sources, enabling comprehensive representation and analysis of the physical world. These ...

Social Indicators Research, Vol. 156, No. 2/3, Special Issue on DATA SCIENCE AND ITS APPLICATIONS TO SOCIAL RESEARCH (August 2021), pp. 515-531 (17 pages) Economic connotation of poverty concerns ...

In the rapidly evolving field of computational intelligence, there is a pressing demand for advanced tools and algorithms ...

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 ...

In the digital world, companies often have data stored across multiple platforms and systems. They must then be able to successfully integrate and analyze this data if they want to make informed ...

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 Defense Logistics Agency has published a white paper by David Bella pushing for machine learning to modernize logistics ...

AI and data integration are no longer siloed entities; they are dynamic forces converging to reshape industries. AI, with its ability to analyze vast datasets and derive actionable insights, can ...

PALO ALTO, Calif.--(BUSINESS WIRE)--Denodo, the leader in data virtualization, today announced that its new Denodo Platform version 8.0 accelerates hybrid/multicloud integration, automates data ...

Denodo, a provider of data virtualization, has announced the Denodo Platform version 8.0, which accelerates hybrid and multi-cloud integration, automates data management with AI/machine learning, and ...

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