Data quilting: Art and science of analyzing disparate data

Motivated by incongruences between today’s complex data, problems and requirements and available methodological frameworks, we propose data quilting as a means of combining and presenting the analysis of multiple types of data to create a single cohesive deliverable. We introduce data quilting as a...

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Autores principales: Murugan Anandarajan, Chelsey Hill
Formato: article
Lenguaje:EN
Publicado: Taylor & Francis Group 2019
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Acceso en línea:https://doaj.org/article/08e2f4b5643c4e4bae97db189e6c8ad6
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