EDITORIAL: BIG DATA MINING APPROACHES FOR HELPING TO REDUCE AND PREVENT GLOBAL WARMING

  • HUISINGH D
  • ZHANG Z
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Abstract

… systems will help governmental, corporate and academic leaders to envision and to implement ways to more effectively recognize the connections and trends among climate factors and socio-economic systems, to simulate the economic costs and benefits of carbon emissions …

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HUISINGH, D., & ZHANG, Z. (2019). EDITORIAL: BIG DATA MINING APPROACHES FOR HELPING TO REDUCE AND PREVENT GLOBAL WARMING. International Journal of Big Data Mining for Global Warming, 01(01), 1901001. https://doi.org/10.1142/s2630534819010010

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