On-location / Digital Conference

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

27th - 28th Mar 2027,Manila, Philippines

In Association With:

Call for Paper


Important Dates


Early Bird Registration

25th Feb 2027

Paper Submission Deadline

2nd March 2027

Registration Deadline

12th March 2027

Conference Date

27th - 28th Mar 2027

Conference Updates:

"Stay updated with Science Cite Conference news."

  • Early-Bird Registration Reminder:
    Early-bird registration for the Science Cite Conference in Manila ends soon! Register Now!
  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in Manila conference.
  • Peer Review Process:
    The peer review process will begin soon for Manila conference.
  • Networking with Global Experts:
    Join global experts at our conference in Manila.
  • Opportunity for Scopus-Indexed Journal Publication:
    Your research could be published in a Scopus-Indexed Journal. Submit Your Abstract
  • SDG-Inspired Conference Focus:
    Present your work aligned with Sustainable Development Goals.

Call For Papers

The ICBDASA 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 Big Data Analytics and Statistical Applications, 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 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

Assessment

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.

Indexed / Supported By

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Academic Institutions Whose Scholars Have Contributed

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