International Conference on Big Data Analytics and Machine Learning Frameworks - (ICBDAMLF-27)


11th - 12th June, 2027 | Dubai, UAE

Multi-format (In-person/Virtual)

Registration Options

Explore conference registration categories designed for every mode of participation.

Important Dates

Pre-registration Deadline

12th May, 2027

Paper Submission Deadline

17th May, 2027

Last Date Of Registration

27th May, 2027

Date Of Conference

11th - 12th June, 2027

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Call for Papers

The (ICBDAMLF-27) 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 Big Data, Machine Learning, Information Technology, 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 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

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.