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International Conference on Machine Learning for IT Infrastructure and Big Data - (ICMLITIBD-27)

11th - 12th June 2027 , Zurich - Switzerland

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Call For Papers

The (ICMLITIBD-27) emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Big Data, Machine Learning, Information Technology are explored to promote cross-domain knowledge exchange and collaborative innovation.

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

  • Machine learning algorithms for big data
  • Infrastructure challenges in machine learning
  • Big data processing frameworks comparison
  • Scalable machine learning techniques
  • Machine learning for data-driven IT solutions
  • Optimizing IT infrastructure with ML
  • Real-time analytics using machine learning
  • Machine learning in cloud environments
  • Data preprocessing for machine learning models
  • Ethical considerations in machine learning
  • Machine learning for IT service optimization
  • Big data analytics in machine learning
  • Applications of deep learning in IT
  • Machine learning model evaluation techniques
  • Big data storage solutions for ML
  • Federated learning in big data contexts
  • Transfer learning for big data applications
  • Machine learning for anomaly detection
  • Big data governance in machine learning
  • Future directions in ML for IT

Assessment

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.

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