International Conference on Machine Learning Techniques for Big Data Applications - (ICMLTBDAPP-26)


18th - 19th September, 2026 | Vancouver, Canada

Multi-format (In-person/Virtual)

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Important Dates

Pre-registration Deadline

19th August, 2026

Paper Submission Deadline

24th August, 2026

Last Date Of Registration

3rd September, 2026

Date Of Conference

18th - 19th September, 2026

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Sample Abstract
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Call for Papers

The (ICMLTBDAPP-26) 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:

  • Supervised learning for big data
  • Unsupervised learning techniques
  • Deep learning applications in big data
  • Feature selection methods for big data
  • Scalable machine learning algorithms
  • Big data preprocessing techniques
  • Real-time machine learning applications
  • Machine learning for fraud detection
  • Data mining techniques for big data
  • Big data in social media analysis
  • Machine learning for customer insights
  • Transfer learning in big data contexts
  • Ensemble methods for big data
  • Big data analytics for marketing
  • Reinforcement learning applications
  • Machine learning in telecommunications
  • Challenges in big data analytics
  • Big data analytics for risk assessment
  • Machine learning for energy management
  • Applications of AI in big data

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.

Submit Your Paper Today Register Early & Reserve Your Slot