SNRI

(ICBDASA - 27) | Hybrid Event
11th - 12th May 2027 | Vancouver, Canada

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International Conference on Big Data Analytics and Statistical Applications
(ICBDASA - 27)

11th - 12th May 2027 Vancouver, Canada (Hybrid Event)

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Call for Paper

The ICBDASA 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, Data Science, 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 in statistical applications
  • Statistical methods for large datasets
  • Data mining techniques in big data
  • Statistical challenges in big data analysis
  • Machine learning applications in big data
  • Statistical modeling of big data phenomena
  • Data visualization techniques for big data
  • Statistical inference in high-dimensional data
  • Big data and predictive analytics
  • Statistical methods for streaming data analysis
  • Applications of big data in healthcare
  • Statistical tools for social media analytics
  • Big data ethics and statistical considerations
  • Statistical methods for big data integration
  • Big data applications in environmental science
  • Statistical analysis of big data in finance
  • Data governance and statistical practices
  • Statistical education for big data analytics
  • Future trends in big data statistics
  • Statistical software for big data analysis
Review & Publication

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.

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