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International Conference on Industrial Engineering and Data Mining Applications - (ICIEDMA-27)

3rd - 4th February 2027 , Porto - Portugal

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Call For Papers

The (ICIEDMA-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 Data Mining 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:

  • Industrial applications of data mining techniques
  • Data mining for process optimization in industry
  • Machine learning in industrial engineering
  • Data mining for supply chain optimization
  • Data mining for quality assurance in manufacturing
  • Data mining for production efficiency
  • Data mining for safety improvements in industry
  • Data mining for resource management in industry
  • Data mining for customer behavior analysis
  • Data mining for predictive maintenance in industry
  • Data mining for operational excellence in manufacturing
  • Data mining for innovation in industrial processes
  • Data mining for environmental sustainability in industry
  • Data mining for workforce optimization
  • Data mining for regulatory compliance in industry
  • Future trends in industrial data mining
  • Data mining for cost reduction in manufacturing
  • Data mining for performance monitoring in industry
  • Data mining for risk management in industrial projects
  • Case studies of data mining in industrial applications

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.

Submit Your Research Work Register Now