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International Conference on Big Data Analytics and Statistical Modeling - (ICBDASM-27)

27th - 28th February 2027 , Malmo - Sweden

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Call For Papers

The (ICBDASM-27) emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Statistics are explored to promote cross-domain knowledge exchange and collaborative innovation.

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 undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.

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