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Call For Papers

The ICBDAMLF 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,Machine Learning,Information Technology, 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 frameworks comparison
  • Machine learning model development frameworks
  • Real-time analytics frameworks for big data
  • Big data visualization frameworks and tools
  • Machine learning for data analysis
  • Big data applications in analytics frameworks
  • Frameworks for scalable machine learning
  • Big data architecture for analytics solutions
  • Machine learning for data-driven insights
  • Big data analytics in cloud environments
  • Frameworks for big data processing
  • Machine learning for data integration
  • Big data governance frameworks
  • Frameworks for predictive analytics
  • Machine learning for data mining
  • Big data in business intelligence frameworks
  • Frameworks for data quality management
  • Machine learning for real-time analytics
  • Big data analytics for operational efficiency
  • Future trends in analytics frameworks

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.

Submit Your Paper Now Confirm Your Participation Today
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