International Journal of Big Data Mining for Global Warming (IJBDMGW)

Present and future global warming research must be increasingly based on big datasets at terabyte and exabyte scales from diverse sources (e.g. climate, ocean, economy, energy, ecosystem dynamics, industry, agriculture, environment, public's attitude/knowledge surveys). The "International Journal of Big Data Mining for Global Warming" is an inter-disciplinary journal dedicated to the publication of high-quality research articles, review articles, letters, case studies and book reviews in all aspects of global warming through traditional mining methods (statistical, spectral, numerical, simulating, LCA, 3E, etc.) and non-traditional mining methods (neural networks, deep learning, cloud computing, etc.) of these big datasets.

International Journal of Big Data Mining for Global Warming (IJBDMGW) is :-

• International, Peer-Reviewed, Open Access, Refereed, global warming, Big Data Mining, research articles, review articles , Online or Print , Half-Yearly Journal

• UGC Approved, ISSN Approved: P-ISSN P-ISSN: 2630-5348, E-ISSN: 2630-5356, Established: 2019, Impact Factor: 1
• Does Not Provide Crossref DOI

• Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE