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International Conference on Big Data Processing and Machine Learning Models - (ICBDPMLM-27)

23rd - 24th January 2027 , Kyoto - Japan

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Call For Papers

The (ICBDPMLM-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:

  • Big data processing techniques and tools
  • Machine learning model development lifecycle
  • Real-time big data analytics solutions
  • Big data challenges in machine learning
  • Data mining techniques for big data
  • Machine learning for data classification
  • Big data integration with machine learning
  • Scalable machine learning frameworks
  • Big data preprocessing for ML models
  • Applications of reinforcement learning
  • Big data analytics for business intelligence
  • Machine learning for time series analysis
  • Big data visualization techniques
  • Data governance in machine learning projects
  • Big data security and privacy issues
  • Machine learning for sentiment analysis
  • Big data in financial services
  • Machine learning for supply chain optimization
  • Big data applications in retail
  • Future directions in big data processing

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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