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Journal Photo for Data-Driven Modelling
Peer reviewed only Open Access

Data-Driven Modelling (DDM)

Publisher : World Scientific
methodologies data-driven models constructing
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e-ISSN 3029-1011
Issue Frequency Continuously
Impact Factor 1
Est. Year 2013
Mobile 442078360888
Language English
APC YES
Impact Factor Assignee Google scholar
Email sales@wspc.co.uk

Journal Descriptions

Data-Driven Modelling delves into the cutting-edge ideas, methodologies, and tools for constructing data-driven models. Models are the key to understanding reality and making informed decisions. They transform raw data into information and produce actionable insights.From predicting traffic flow to launching satellites, modelling is woven into our daily lives. Modelling real, complex systems is a skill that modern humans excel in, but our mathematical and statistical tools are still lagging behind, and navigating complexity rests a challenge. This journal publishes works that explore all diverse forms of data-driven modelling, from foundational mathematical approaches to simulations. We cover the tools that drive discovery and innovation in this ever-evolving field.

Data-Driven Modelling (DDM) is :-

  • International, Peer-Reviewed, Open Access, Refereed, methodologies, data-driven models, constructing , Online , Continuously Journal

  • UGC Approved, ISSN Approved: P-ISSN E-ISSN: 3029-1011, Established: 2013, Impact Factor: 1
  • Does Not Provide Crossref DOI

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

Indexing