On-location / Digital Conference

International Conference on Data Analytics and Predictive Modeling Techniques (ICDAPMT-27)

22nd - 23rd Mar 2027,Alexandria, Egypt

In Association With:

Call for Paper


Important Dates


Early Bird Registration

20th Feb 2027

Paper Submission Deadline

25th February 2027

Registration Deadline

7th March 2027

Conference Date

22nd - 23rd Mar 2027

Conference Updates:

"Stay updated with Science Cite Conference news."

  • Early-Bird Registration Reminder:
    Early-bird registration for the Science Cite Conference in Alexandria ends soon! Register Now!
  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in Alexandria conference.
  • Peer Review Process:
    The peer review process will begin soon for Alexandria conference.
  • Networking with Global Experts:
    Join global experts at our conference in Alexandria.
  • 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 ICDAPMT 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 Data Analytics and Predictive Modeling Techniques, encouraging applied research, case studies, and industry-driven innovations.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Predictive modeling techniques in analytics
  • Data analytics for business intelligence
  • Statistical methods for predictive analytics
  • Machine learning in predictive modeling
  • Big data analytics for decision making
  • Predictive analytics in healthcare
  • Data visualization for predictive insights
  • Statistical modeling for customer behavior
  • Predictive analytics in marketing strategies
  • Data-driven approaches to risk management
  • Predictive modeling for financial forecasting
  • Real-time predictive analytics applications
  • Ethics in predictive modeling practices
  • Statistical techniques for anomaly detection
  • Data analytics for operational efficiency
  • Predictive analytics in social sciences
  • Integrating predictive modeling with AI
  • Future trends in predictive analytics
  • Statistical learning for predictive insights
  • Applications of predictive modeling in industry

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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