International Conference on Big Data Analytics and Statistical Modeling - (ICBDASM-26)


26th - 27th September, 2026 | Paris, France

Multi-format (In-person/Virtual)

Submit for Presentation Attendee Registration Conference Brochure
Registration Options →

Explore conference registration categories designed for every mode of participation.

Home About Organizer Call For Paper Paper Submission Author Guidelines Registration Presentation Guidelines Organizing Committee Collaboration Agenda Do's and Dont's Invitation Letter Venue Contact Us

Important Dates

Pre-registration Deadline

27th August, 2026

Paper Submission Deadline

1st September, 2026

Last Date Of Registration

19th August, 2026

Date Of Conference

26th - 27th September, 2026

Downloads

Conference Flyer
Sample Abstract
Sample Full Paper

Call for Papers

The (ICBDASM-26) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Statistics, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

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

Peer Review Process

All submissions will be evaluated through a structured peer-review process to ensure academic rigor and contribution to the field. Accepted papers will be presented and may be considered for publication in high-quality journals and indexed conference proceedings.

Registration Details

Secure your participation by completing the registration process at the earliest. Limited presentation slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions will be prioritized for publication opportunities in recognized journals and indexed proceedings.

Submit Your Paper Today Register Early & Reserve Your Slot