Open Data for Sustainable Community

Name: Open Data for Sustainable Community
Brand: Springer Verlag, Singapore
SKU: 9789813343115
Price: 61457 HUF
Availability: InStock

Szerző: Santanu Ghosh, Monodeep Saha

Nyelv:

Kötés: Kemény kötésű

Kiadó: Springer Verlag, Singapore

Elérhetőség: Beszállítói készleten

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This book is an attempt to bring value to the enterprise pursuits in the areas of research and innov...

Információk a könyvről

Szerző

Santanu Ghosh, Monodeep Saha

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

2020

oldal

324

EAN

9789813343115

ISBN

9813343117

Enbook ID

33447112

Kiadó

Springer Verlag, Singapore

Súly

653

Méretek

160 x 241 x 24

Teljes leírás

This book is an attempt to bring value to the enterprise pursuits in the areas of research and innovation around the specific issues in terms of topic selection, open data resources and researcher orientation. Over the last 300 years, industrial revolutions have had game-changing impact on societies. Presently, by and large, we are at the crossroads of the fourth industrial revolution, where phygital systems are going to play a massive role, where digital systems can simulate and go beyond the limitations of the physical world, thereby enabling a new world order. This transformation is cutting across every sphere known to mankind. The world will become a globally localized marketplace. In today's business world, sustainability is a corporate agenda. Enterprises are also aiming to be purpose-driven, adaptive and resilient to disruptions. The contributions to community and environment are part of their corporate branding. The book explores and presents a part of the open data sets from government institutions to achieve the sustainable goals at local level, in turn contributing towards global mission. As the topic suggests, the authors are looking at some of the specific issues in the areas of environment, agriculture and health care through the lens of data science. The authors believe that the above three areas chosen have deep relevance in today's world. The intent is to explore these issues from a data and analytics perspective and identify cracks through which deeper inroads can be made. Conscious efforts have been taken to make use of all the major data science techniques like prediction, classification, clustering, and correlation. Given the above background, deeper waters will be explored through the contents of this book.

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Open Data for Sustainable Community

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