90折
Big Data Factories ― Collaborative Approaches
商品資訊
系列名：Computational Social Sciences
ISBN13：9783319591858
出版社：Springer-Verlag New York Inc
作者：Sorin Adam Matei (EDT); Nicolas Jullien (EDT); Sean P. Goggins (EDT)
出版日：2017/12/07
裝訂：精裝
規格：23.5cm*15.5cm (高/寬)
定價
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90 折 2025 元
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商品簡介
作者簡介
商品簡介
The book proposes a systematic approach to big data collection, documentation and development of analytic procedures that foster collaboration on a large scale. This approach, designated as “data factoring” emphasizes the need to think of each individual dataset developed by an individual project as part of a broader data ecosystem, easily accessible and exploitable by parties not directly involved with data collection and documentation. Furthermore, data factoring uses and encourages pre-analytic operations that add value to big data sets, especially recombining and repurposing.
Finally, the book presents the teaching utility of data factoring and the ethical and privacy concerns related to it.
Chapter 9 of this book is available open access under a CC BY 4.0 license at link.springer.com
作者簡介
Sorin Matei is a Professor at Brian Lamb School of Communication at Purdue University. His focus areas are computational social science, collaborative content production, and data storytelling.
Nicolas Jullien is an Associate Professor at the LUSSI Department of Telecom Bretagne. His research interests are in open and online communities.
Sean Patrick Goggins is an Associate Professor at Missouri's iSchool, with courtesy appointments as core faculty in the University of Missouri's Informatics Institute and Department of Computer Science.
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