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

Publisher :

World Scientific

Scopus Profile
Peer reviewed only
Scopus Profile
Open Access
  • global warming
  • Big Data Mining
  • research articles

    • +1

e-ISSN :

2630-5356

Issue Frequency :

Half-Yearly

Impact Factor :

1

p-ISSN :

2630-5348

Est. Year :

2019

Mobile :

6564677667

Country :

Singapore

Language :

English

APC :

YES

Impact Factor Assignee :

Google scholar

Email :

wspc@wspc.com.sg

Journal Descriptions

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 - 2630-5348, E-ISSN - 2630-5356, Established in - 2019, Impact Factor - 1

Not Provide Crossref DOI

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

Indexing

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