Call For Paper

Call for Paper

The ICMLBDA invites researchers, academicians, industry experts, and practitioners to submit original and high-quality research contributions. This conference serves as a global platform for presenting innovative ideas, exchanging knowledge, and fostering interdisciplinary collaboration.

Focusing on key research areas such as Big Data the conference aims to bridge theoretical advancements with real-world applications. It encourages forward-thinking research that addresses contemporary challenges while contributing to long-term scientific and technological progress.

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

  • Machine learning algorithms for big data
  • Deep learning applications in big data
  • Big data preprocessing techniques
  • Real-time machine learning for big data
  • Scalable machine learning frameworks
  • Big data analytics for predictive modeling
  • Data mining techniques in machine learning
  • Big data applications in natural language processing
  • Reinforcement learning with big data
  • Big data visualization for machine learning results
  • Ethics of machine learning in big data
  • Big data challenges in machine learning
  • Transfer learning in big data contexts
  • Big data and AI model interpretability
  • Big data applications in image recognition
  • Machine learning for big data security
  • Big data analytics for time series forecasting
  • Future directions in machine learning and big data
  • Big data in automated decision making
  • Collaborative filtering with big data

Peer Review & Publication

The conference welcomes theoretical, empirical, and applied research contributions. All submissions will undergo a rigorous peer-review process by subject matter experts to ensure originality, technical quality, and relevance. Accepted papers will be presented and considered for publication in reputed journals and conference proceedings, providing global visibility to the authors.

Registration

Authors of accepted papers are required to complete the registration process to confirm their participation in the conference. Early registration is recommended to secure presentation slots and access all conference sessions.

Publication

Accepted papers will be considered for publication in reputed journals and conference proceedings, subject to review outcomes and editorial policies.