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Call For Papers

The ICBDASM is committed to addressing global challenges through impactful research and sustainable solutions. It brings together researchers dedicated to advancing knowledge for societal benefit.

Focusing on Statistics, the conference promotes research aligned with global development goals and long-term sustainability.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Big data analytics techniques and tools
  • Statistical modeling for large datasets
  • Data mining and statistical methods
  • Machine learning applications in big data
  • Statistical challenges in big data
  • Predictive analytics in business intelligence
  • Big data visualization techniques
  • Statistical methods for real-time data
  • Applications of big data in healthcare
  • Big data ethics and privacy concerns
  • Statistical modeling in social media analysis
  • Big data applications in finance
  • Data quality and statistical reliability
  • Statistical methods for streaming data
  • Big data and machine learning integration
  • Statistical analysis of network data
  • Big data applications in environmental science
  • Statistical techniques for unstructured data
  • Big data in education and research
  • Future trends in big data analytics

Assessment

All submissions will be reviewed for their contribution to global impact and research quality. Accepted papers will be presented and considered for publication in reputed platforms.

Registration

Join participants from around the world by completing your registration and becoming part of a global research community.

Publication

Accepted papers will gain international exposure through conference presentations and publication opportunities.

Start Your Research Journey Here Get Started with Registration

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