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001432774 003__ OCoLC
001432774 005__ 20230309003532.0
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001432774 020__ $$a9789813343122$$q(electronic bk.)
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001432774 0247_ $$a10.1007/978-981-33-4312-2$$2doi
001432774 035__ $$aSP(OCoLC)1225555486
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001432774 049__ $$aISEA
001432774 050_4 $$aHC79.E5
001432774 08204 $$a338.927$$223
001432774 1001_ $$aSharma, Neha,$$eauthor.
001432774 24510 $$aOpen data for sustainable community :$$bglocalized sustainable development goals /$$cNeha Sharma, Santanu Ghosh, Monodeep Saha.
001432774 260__ $$aSingapore :$$bSpringer Singapore Pte. Limited,$$c2021.
001432774 300__ $$a1 online resource (xxiv, 299 pages) :$$billustrations
001432774 336__ $$atext$$btxt$$2rdacontent
001432774 337__ $$acomputer$$bc$$2rdamedia
001432774 338__ $$aonline resource$$bcr$$2rdacarrier
001432774 347__ $$atext file
001432774 347__ $$bPDF
001432774 4901_ $$aAdvances in sustainability science and technology
001432774 504__ $$aIncludes bibliographical references.
001432774 5050_ $$aPart I. Environment : a fact-based study using tree census and air pollution data. Inching towards sustainable smart cities : literature review and data preparation -- Exploring air pollution and green cover dataset : a quantitative approach -- Application of statistical analysis in uncovering the spatio-temporal relationships between the environmental datasets -- Part II. Resilient agriculture : a war against hunger. Farmer Call Centre literature review and data preparation -- Analysis and visualization of Farmer Call Center data -- An approach for exploring new frontiers for optimizing query volume for Farmer Call Centre : KCC query pattern -- Part III. Demand and supply study of healthcare human resource and infrastructure : through the lens of COVID 19. Sustainable healthcare in COVID-19 pandemic : literature survey and data lifting -- COVID-19 and Indian healthcare system : a race against time -- Estimating cases for COVID-19 in India -- Multifacet impact of pandemic on society.
001432774 506__ $$aAccess limited to authorized users.
001432774 520__ $$aThis book is an attempt to bring value to the enterprise pursuits in the areas of research and innovation around the specific issues in terms of topic selection, open data resources and researcher orientation. Over the last 300 years, industrial revolutions have had game-changing impact on societies. Presently, by and large, we are at the crossroads of the fourth industrial revolution, where phygital systems are going to play a massive role, where digital systems can simulate and go beyond the limitations of the physical world, thereby enabling a new world order. This transformation is cutting across every sphere known to mankind. The world will become a globally localized marketplace. In todays business world, sustainability is a corporate agenda. Enterprises are also aiming to be purpose-driven, adaptive and resilient to disruptions. The contributions to community and environment are part of their corporate branding. The book explores and presents a part of the open data sets from government institutions to achieve the sustainable goals at local level, in turn contributing towards global mission. As the topic suggests, the authors are looking at some of the specific issues in the areas of environment, agriculture and health care through the lens of data science. The authors believe that the above three areas chosen have deep relevance in todays world. The intent is to explore these issues from a data and analytics perspective and identify cracks through which deeper inroads can be made. Conscious efforts have been taken to make use of all the major data science techniques like prediction, classification, clustering, and correlation. Given the above background, deeper waters will be explored through the contents of this book.
001432774 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed February 4, 2021).
001432774 650_0 $$aSustainable development$$xData processing.
001432774 650_0 $$aPredictive analytics.
001432774 650_0 $$aGlocalization.
001432774 650_0 $$aBig data.
001432774 650_6 $$aDéveloppement durable$$xInformatique.
001432774 650_6 $$aDécentralisation de l'économie mondiale.
001432774 650_6 $$aDonnées volumineuses.
001432774 655_0 $$aElectronic books.
001432774 7001_ $$aGhosh, Santanu,$$eauthor.
001432774 7001_ $$aSaha, Monodeep,$$eauthor.
001432774 77608 $$iPrint version:$$z9789813343115
001432774 830_0 $$aAdvances in sustainability science and technology.
001432774 852__ $$bebk
001432774 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-33-4312-2$$zOnline Access$$91397441.1
001432774 909CO $$ooai:library.usi.edu:1432774$$pGLOBAL_SET
001432774 980__ $$aBIB
001432774 980__ $$aEBOOK
001432774 982__ $$aEbook
001432774 983__ $$aOnline
001432774 994__ $$a92$$bISE