Call For Papers
The ICEIDM aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.
The conference highlights advancements in Data Mining, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.
Authors are invited to submit papers addressing, but not limited to, the following areas:
- Data mining techniques in engineering informatics
- Machine learning for engineering data analysis
- Big data applications in engineering informatics
- Data visualization for engineering insights
- Predictive modeling in engineering systems
- Integration of AI in engineering informatics
- Data-driven decision making in engineering
- Real-time data processing in engineering informatics
- Data mining for system optimization
- Collaborative engineering through data sharing
- Data mining for project management
- Ethics in engineering informatics research
- Machine learning for engineering education
- Data-driven innovations in engineering practices
- Case studies in engineering informatics
- Data mining for risk management in projects
- Future trends in engineering informatics
- Data mining for performance evaluation
- Data-driven methodologies in engineering research
- Applications of data mining in engineering
Assessment
Submissions will be assessed for originality, innovation, and relevance. Accepted papers will be presented at the conference and considered for publication opportunities in reputed academic platforms.
Registration
Participants are requested to complete the registration process following acceptance of their paper. Registration ensures inclusion in the conference schedule and official records.
Publication
All accepted manuscripts will be eligible for publication consideration in conference proceedings and associated academic journals.