東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Open data for sustainable community ...

Sharma, Neha.

Linked to FindBook

Google Book

Amazon

博客來

Open data for sustainable community = glocalized sustainable development goals /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Open data for sustainable community/ by Neha Sharma, Santanu Ghosh, Monodeep Saha.
Reminder of title:	glocalized sustainable development goals /
Author:	Sharma, Neha.
other author:	Ghosh, Santanu.
Published:	Singapore :Springer Singapore : : 2021.,
Description:	xxiv, 299 p. :ill., digital ;24 cm.
[NT 15003449]:	Chapter 1. Environment-A Fact Based Study using Tree Census and Air Pollution Data -- Chapter 2. Exploring Air Pollution and Green Cover Dataset- A Quantitative Approach -- Chapter 3. Application of Statistical Analysis in Uncovering the Spatio-Temporal Relationships between the Environmental Datasets -- Chapter 4. Environment - A Fact Based Study using Tree Census and Air Pollution Data -- Chapter 5. Analysis & Visualization of Farmer Call Center Data -- Chapter 6. Chapter 6. An Approach for Exploring New Frontiers for Optimizing Query Volume for Farmer Call Centre - KCC Query Pattern -- Chapter 7. Demand and Supply Study of Healthcare Human Resource and Infrastructure- Through the Lens of COVID 19 -- Chapter 8. COVID-19 and Indian Healthcare System-A Race Against Time -- Chapter 9. Estimating Cases for COVID-19 in India -- Chapter 10.Multi-facet Impact of Pandemic on Society.
Contained By:	Springer Nature eBook
Subject:	Sustainable development - Data processing. -
Online resource:	https://doi.org/10.1007/978-981-33-4312-2
ISBN:	9789813343122

Open data for sustainable community = glocalized sustainable development goals /
Sharma, Neha.

Open data for sustainable communityglocalized sustainable development goals /[electronic resource] :by Neha Sharma, Santanu Ghosh, Monodeep Saha. - Singapore :Springer Singapore :2021. - xxiv, 299 p. :ill., digital ;24 cm. - Advances in sustainability science and technology,2662-6829. - Advances in sustainability science and technology..

Chapter 1. Environment-A Fact Based Study using Tree Census and Air Pollution Data -- Chapter 2. Exploring Air Pollution and Green Cover Dataset- A Quantitative Approach -- Chapter 3. Application of Statistical Analysis in Uncovering the Spatio-Temporal Relationships between the Environmental Datasets -- Chapter 4. Environment - A Fact Based Study using Tree Census and Air Pollution Data -- Chapter 5. Analysis & Visualization of Farmer Call Center Data -- Chapter 6. Chapter 6. An Approach for Exploring New Frontiers for Optimizing Query Volume for Farmer Call Centre - KCC Query Pattern -- Chapter 7. Demand and Supply Study of Healthcare Human Resource and Infrastructure- Through the Lens of COVID 19 -- Chapter 8. COVID-19 and Indian Healthcare System-A Race Against Time -- Chapter 9. Estimating Cases for COVID-19 in India -- Chapter 10.Multi-facet Impact of Pandemic on Society.

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.

ISBN: 9789813343122

Standard No.: 10.1007/978-981-33-4312-2doiSubjects--Topical Terms:

2121400
Sustainable development
--Data processing.

LC Class. No.: HC79.E5

Dewey Class. No.: 338.927

Open data for sustainable community = glocalized sustainable development goals /
LDR:03772nmm a2200337 a 4500 001 2236465
003 DE-He213
005 20201201110243.0
006 m d
007 cr nn 008maaau
008 211111s2021 si s 0 eng d
020 $a 9789813343122 $q (electronic bk.)
020 $a 9789813343115 $q (paper)
024 7 $a 10.1007/978-981-33-4312-2 $2 doi
035 $a 978-981-33-4312-2
040 $a GP $c GP $e rda
041 0 $a eng
050 4 $a HC79.E5
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 338.927 $2 23
090 $a HC79.E5 $b S531 2021
100 1 $a Sharma, Neha. $3 3209829
245 1 0 $a Open data for sustainable community $h [electronic resource] : $b glocalized sustainable development goals / $c by Neha Sharma, Santanu Ghosh, Monodeep Saha.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2021.
300 $a xxiv, 299 p. : $b ill., digital ; $c 24 cm.
490 1 $a Advances in sustainability science and technology, $x 2662-6829
505 0 $a Chapter 1. Environment-A Fact Based Study using Tree Census and Air Pollution Data -- Chapter 2. Exploring Air Pollution and Green Cover Dataset- A Quantitative Approach -- Chapter 3. Application of Statistical Analysis in Uncovering the Spatio-Temporal Relationships between the Environmental Datasets -- Chapter 4. Environment - A Fact Based Study using Tree Census and Air Pollution Data -- Chapter 5. Analysis & Visualization of Farmer Call Center Data -- Chapter 6. Chapter 6. An Approach for Exploring New Frontiers for Optimizing Query Volume for Farmer Call Centre - KCC Query Pattern -- Chapter 7. Demand and Supply Study of Healthcare Human Resource and Infrastructure- Through the Lens of COVID 19 -- Chapter 8. COVID-19 and Indian Healthcare System-A Race Against Time -- Chapter 9. Estimating Cases for COVID-19 in India -- Chapter 10.Multi-facet Impact of Pandemic on Society.
520 $a 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.
650 0 $a Sustainable development $x Data processing. $3 2121400
650 0 $a Predictive analytics. $3 3487786
650 0 $a Glocalization. $3 3204218
650 0 $a Big data. $3 2045508
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Data Structures and Information Theory. $3 3382368
650 2 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Sustainable Development. $3 900447
650 2 4 $a Environmental and Sustainability Education. $3 3252534
650 2 4 $a Health Care Management. $3 2054807
700 1 $a Ghosh, Santanu. $3 1919613
700 1 $a Saha, Monodeep. $3 3487917
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Advances in sustainability science and technology. $3 3487627
856 4 0 $u https://doi.org/10.1007/978-981-33-4312-2
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)