On-location / Digital Conference

International Conference on Big Data Analytics and Predictive Modeling (ICBDAPM-27)

16th - 17th Apr 2027,Shanghai, China

In Association With:

Call for Paper


Important Dates


Early Bird Registration

17th Mar 2027

Paper Submission Deadline

22nd March 2027

Registration Deadline

1st April 2027

Conference Date

16th - 17th Apr 2027

Conference Updates:

"Stay updated with Science Cite Conference news."

  • Early-Bird Registration Reminder:
    Early-bird registration for the Science Cite Conference in Shanghai ends soon! Register Now!
  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in Shanghai conference.
  • Peer Review Process:
    The peer review process will begin soon for Shanghai conference.
  • Networking with Global Experts:
    Join global experts at our conference in Shanghai.
  • 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 ICBDAPM 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 Predictive Modeling, 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 applications in business
  • Predictive analytics for decision making
  • Data visualization techniques for insights
  • Machine learning in data analytics
  • Data governance and management strategies
  • Real-time analytics for business operations
  • Ethics of data usage in business
  • Data-driven marketing strategies
  • Challenges in big data implementation
  • Case studies of successful data analytics
  • Impact of AI on data analytics
  • Data privacy regulations and compliance
  • Business intelligence tools and technologies
  • Data integration across business functions
  • Future trends in big data analytics
  • Data analytics for customer insights
  • Role of data in strategic planning
  • Collaboration between data scientists and business
  • Impact of cloud computing on analytics
  • Data literacy for business professionals

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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