International Conference on Machine Learning Techniques for Big Data Applications
(ICMLTBDAPP - 27)

13th - 14th April 2027 Boston, USA (Hybrid Event)

Call for Paper

The ICMLTBDAPP is committed to addressing global challenges through impactful research and sustainable solutions. It brings together researchers dedicated to advancing knowledge for societal benefit. Focusing on Big Data, Machine Learning, Information Technology, the conference promotes research aligned with global development goals and long-term sustainability. 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
Review & Publication

All submissions will be reviewed for their contribution to global impact and research quality. Accepted papers will be presented and considered for publication in reputed platforms.

Registration

Join participants from around the world by completing your registration and becoming part of a global research community.

Publication

Accepted papers will gain international exposure through conference presentations and publication opportunities.

Sponsored & Indexed by