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The Impact of Big Data on Climate Change
8 references·0 citing·37 second hop
The Impact of Big Data on Climate Change (2023)The Impact of Big Data on Climate ChangeBig Data and Climate Change (2019)Big Data and Climate ChangeDigitalisation and Big Data Mining in Banking (2018)Digitalisation and Big Data M…Big Data for Development: A Review of Promises and Challenges (2015)Big Data for Development: A R…Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (2014)Data-intensive applications, …Big Data: Survey, Technologies, Opportunities, and Challenges (2014)Big Data: Survey, Technologie…A Big Data Guide to Understanding Climate Change: The Case for Theory-Guided Data Science (2014)A Big Data Guide to Understan…Mining big data (2013)Mining big dataThe changing science of machine learning (2011)The changing science of machi…The backbone of the climate network (2009)Data Science (2017)Assessing the Potentials of Digitalization as a Tool for Climate Change Adaptation and Sustainable Development in Urban Centres (2019)Data Science: A Comprehensive Overview (2020)Big data: The next frontier for innovation, competition, and productivity (2011)Big data: a revolution that will transform how we live, work, and think (2013)Big Data: A Survey (2014)Big Data and cloud computing: innovation opportunities and challenges (2016)The role of big data in smart city (2016)Big Data technologies: A survey (2017)The World’s Technological Capacity to Store, Communicate, and Compute Information (2011)Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data (2011)Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)Critical analysis of Big Data challenges and analytical methods (2016)A survey on deep learning for big data (2017)CRITICAL QUESTIONS FOR BIG DATA (2012)The Digital Universe in 2020: Big Data, Bigger Digital Shadows, and Biggest Growth in the Far East (2012)Applications of big data to smart cities (2015)Smart sustainable cities of the future: An extensive interdisciplinary literature review (2017)The Presentation of Self in Everyday Life. (1956)The Evolution of Cooperation (1981)Diffusion of innovations (2003)B ig D ata and analytics in higher education: Opportunities and challenges (2014)Unleashing the convergence amid digitalization and sustainability towards pursuing the Sustainable Development Goals (SDGs): A holistic review (2020)The Ethics of Artificial Intelligence (2023)Application of data mining techniques in customer relationship management: A literature review and classification (2008)A data-driven approach to predict the success of bank telemarketing (2014)Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)Big data analytics for supply chain relationship in banking (2019)Big data applications: overview, challenges and future (2024)The Real-Time City? Big Data and Smart Urbanism (2013)Beyond the hype: Big data concepts, methods, and analytics (2014)Smart Cities: Definitions, Dimensions, Performance, and Initiatives (2015)A systematic review of big data-based urban sustainability research: State-of-the-science and future directions (2020)Big Data and the United Nations Sustainable Development Goals (UN SDGs) at a Glance (2021)Machine Learning that Matters (2012)Algorithmic realism (2020)
this work references cited by second hop

References

  • 2014Data-intensive applications, challenges, techniques and technologies: A survey on Big Data3,070 cited
  • 2015Big Data for Development: A Review of Promises and Challenges799 cited
  • 2013Mining big data677 cited
  • 2014Big Data: Survey, Technologies, Opportunities, and Challenges562 cited
  • 2014A Big Data Guide to Understanding Climate Change: The Case for Theory-Guided Data Science227 cited
  • 2011The changing science of machine learning173 cited
  • 2018Digitalisation and Big Data Mining in Banking132 cited
  • 2019Big Data and Climate Change117 cited

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