International Conference on Electrical Engineering and Data Mining Integration - (ICEEDMI-27)


8th - 9th June, 2027 | Luxembourg City, Luxembourg

Multi-format (In-person/Virtual)

Registration Options

Explore conference registration categories designed for every mode of participation.

Important Dates

Pre-registration Deadline

9th May, 2027

Paper Submission Deadline

14th May, 2027

Last Date Of Registration

24th May, 2027

Date Of Conference

8th - 9th June, 2027

Downloads

Call for Papers

The (ICEEDMI-27) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Data Mining, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

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

  • Data mining integration in electrical engineering
  • Machine learning applications in electrical systems
  • Data mining for predictive maintenance in electrical engineering
  • Data mining for energy management
  • Data mining for fault detection in electrical systems
  • Data mining for performance optimization in electrical engineering
  • Data mining for safety improvements in electrical systems
  • Data mining for resource management in electrical projects
  • Data mining for quality assurance in electrical engineering
  • Data mining for customer behavior analysis in electrical systems
  • Data mining for regulatory compliance in electrical engineering
  • Data mining for innovation in electrical design
  • Data mining for operational efficiency in electrical systems
  • Data mining for real-time monitoring of electrical systems
  • Future trends in electrical engineering data mining
  • Data mining for risk assessment in electrical projects
  • Data mining for performance monitoring in electrical systems
  • Data mining for cost reduction in electrical engineering
  • Case studies of data mining in electrical engineering
  • Data mining for environmental sustainability in electrical systems

Peer Review Process

All submissions will be evaluated through a structured peer-review process to ensure academic rigor and contribution to the field. Accepted papers will be presented and may be considered for publication in high-quality journals and indexed conference proceedings.

Registration Details

Secure your participation by completing the registration process at the earliest. Limited presentation slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions will be prioritized for publication opportunities in recognized journals and indexed proceedings.