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Data Visualization in Society
Today we are witnessing an increased use of data visualization in society. Across domains such as work, education and the news, various forms of graphs, charts and maps are used to explain, convince and tell stories. In an era in which more and more data are produced and circulated digitally, and digital tools make visualization production increasingly accessible, it is important to study the c…
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- 9789048543137
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Indigenous Data Sovereignty: Toward an agenda
As the global ‘data revolution’ accelerates, how can the data rights and interests of indigenous peoples be secured? Premised on the United Nations Declaration on the Rights of Indigenous Peoples, this book argues that indigenous peoples have inherent and inalienable rights relating to the collection, ownership and application of data about them, and about their lifeways and territories. As…
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- 9781760460303
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- 300 IND i
A Matter of Trust: Building Integrity into Data, Statistics and Records to Su…
The United Nations Sustainable Development Goals initiative has the potential to set the direction for a future world that works for everyone. Approved by 193 United Nations member countries in September 2016 to help guide global and national development policies in the period to 2030, the 17 goals build on the successes of the Millennium Development Goals, but also include new priority areas,…
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- 9781912250349
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Biodiversity Databases Techniques, Politics, and Applications
With changes in technology and a renewed effort to catalog the world's biodiversity, huge amounts of data are being generated on biodiversity issues. As response to the call for better information systems to manage the biodiversity crisis, a wide range of solutions are being developed for inventorying, managing, and disseminating taxonomic data. This book brings together a diverse array of auth…
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- 9781439832547, 1439832544
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Elements of Causal Inference
A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning. The mathematization of causality is a relatively recent development, and has become increasingly important in data science and machine learning. This book offers a self-contained and concise introduction to causal models and how to learn them from data. After explaining th…
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- 9780262037310
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Computational intelligence in Software Cost Estimation
Computational Intelligence in Software Cost Estimation: Evolving Conditional Sets of Effort Value Ranges
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- 9789537619039
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