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Call For Papers

The ICBDASM bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Statistics, encouraging applied research, case studies, and industry-driven innovations.

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

Evaluation

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in relevant journals and proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.