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Call For Papers

The ICEADM bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Data Mining, encouraging applied research, case studies, and industry-driven innovations.

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

  • Applications of data mining in engineering
  • Data mining for process optimization techniques
  • Machine learning in engineering applications
  • Data mining for predictive analytics
  • Data-driven methodologies in engineering
  • Data mining for supply chain optimization
  • Statistical analysis in engineering applications
  • Data mining for project management
  • Integration of AI in engineering data mining
  • Data mining for resource allocation
  • Data mining in manufacturing processes
  • Real-time analytics for engineering applications
  • Data mining for safety improvements
  • Data mining in construction engineering
  • Data mining for product lifecycle management
  • Data mining for customer behavior analysis
  • Collaborative data mining in engineering teams
  • Data mining for performance enhancement
  • Data mining for regulatory compliance
  • Future directions in engineering data mining

Evaluation

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in relevant journals and proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

Submit Your Paper Now Confirm Your Participation Today
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