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Big data for the greater good

Emrouznejad, Ali.

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Big data for the greater good

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Big data for the greater good/ edited by Ali Emrouznejad, Vincent Charles.
其他作者:	Emrouznejad, Ali.
出版者:	Cham :Springer International Publishing : : 2019.,
面頁冊數:	x, 204 p. :ill., digital ;24 cm.
內容註:	Big Data for the Greater Good: An Introduction -- Big Data Analytics and Ethnography: Together for the Greater Good -- Big Data: A Global Overview -- Big data for predictive analytics in high acuity health settings -- A Novel Big Data-Enabled Approach Individualizing and Optimizing Brain Disorder Rehabilitation -- Big Data in Agricultural and Food Research: Challenges and Opportunities of an integrated Big Data e-Infrastructure -- Green neighbourhoods: the role of big data in low voltage networks' planning -- Big Data Improves Visitor Experience at Local, State, and National Parks - Natural Language Processing Applied to Customer Feedback -- Big Data and Sensitive Data.
Contained By:	Springer eBooks
標題:	Big data - Industrial applications. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-93061-9
ISBN:	9783319930619

Big data for the greater good
Big data for the greater good[electronic resource] /edited by Ali Emrouznejad, Vincent Charles. - Cham :Springer International Publishing :2019. - x, 204 p. :ill., digital ;24 cm. - Studies in big data,v.422197-6503 ;. - Studies in big data ;v.42..

Big Data for the Greater Good: An Introduction -- Big Data Analytics and Ethnography: Together for the Greater Good -- Big Data: A Global Overview -- Big data for predictive analytics in high acuity health settings -- A Novel Big Data-Enabled Approach Individualizing and Optimizing Brain Disorder Rehabilitation -- Big Data in Agricultural and Food Research: Challenges and Opportunities of an integrated Big Data e-Infrastructure -- Green neighbourhoods: the role of big data in low voltage networks' planning -- Big Data Improves Visitor Experience at Local, State, and National Parks - Natural Language Processing Applied to Customer Feedback -- Big Data and Sensitive Data.

This book highlights some of the most fascinating current uses, thought-provoking changes, and biggest challenges that Big Data means for our society. The explosive growth of data and advances in Big Data analytics have created a new frontier for innovation, competition, productivity, and well-being in almost every sector of our society, as well as a source of immense economic and societal value. From the derivation of customer feedback-based insights to fraud detection and preserving privacy; better medical treatments; agriculture and food management; and establishing low-voltage networks - many innovations for the greater good can stem from Big Data. Given the insights it provides, this book will be of interest to both researchers in the field of Big Data, and practitioners from various fields who intend to apply Big Data technologies to improve their strategic and operational decision-making processes.

ISBN: 9783319930619

Standard No.: 10.1007/978-3-319-93061-9doiSubjects--Topical Terms:

3378933
Big data
--Industrial applications.

LC Class. No.: HD30.215

Dewey Class. No.: 658.4033

Big data for the greater good
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520 $a This book highlights some of the most fascinating current uses, thought-provoking changes, and biggest challenges that Big Data means for our society. The explosive growth of data and advances in Big Data analytics have created a new frontier for innovation, competition, productivity, and well-being in almost every sector of our society, as well as a source of immense economic and societal value. From the derivation of customer feedback-based insights to fraud detection and preserving privacy; better medical treatments; agriculture and food management; and establishing low-voltage networks - many innovations for the greater good can stem from Big Data. Given the insights it provides, this book will be of interest to both researchers in the field of Big Data, and practitioners from various fields who intend to apply Big Data technologies to improve their strategic and operational decision-making processes.
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