Titlebook: Big Data in History; Patrick Manning Book 2013 Palgrave Macmillan, a division of Macmillan Publishers Limited 2013 Aggregation.crowd sourc

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Introduction to Graph Neural Networkshave begun to process historical data, and CHIA provides a way to coordinate this work. Print resources such as the British Parliamentary Papers and archival records from Lisbon, Rome, and Beijing await inclusion. The crowdsourcing infrastructure, Col*Fusion, may be a great step forward in linking d

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https://doi.org/10.1007/978-1-4684-0481-4chapter reviews the past 70 years of work in developing social science datasets, and also the parallel development of modeling in climate and genetics. The narratives of creation of archives and analyses on climate and genetics show the interplay of theory, historical data, technology, and changing

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Aimee L. Franklin,Jos C. N. Raadschelderse past five centuries. It emphasizes that, to document the history of human society, one needs to account for numerous factors interacting in a social system at local and global scales. Nevertheless, new technology makes it possible to create a large-scale connected record of the human experience.

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Introduction to Graph Neural Networksatasets. The Col*Fusion process records data plus detailed metadata on source, place, time, specifics of the topic, and on modifications to the data. Each dataset, as incorporated, benefits from a program of digital stewardship, carefully preserving it and ensuring that users of a dataset will cite the author.