Call For Papers
The ICKDML 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 Machine Learning, 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:
- Knowledge representation and machine learning
- Data mining techniques for knowledge discovery
- Machine learning for pattern recognition
- Semantic web technologies and AI
- Knowledge graphs in machine learning applications
- AI for decision support systems
- Collaborative knowledge discovery approaches
- Ethics in knowledge discovery processes
- Machine learning for information retrieval
- Interdisciplinary applications of knowledge discovery
- Real-time knowledge extraction techniques
- Impact of AI on knowledge management
- Machine learning for scientific discovery
- Knowledge-based systems and AI
- Future trends in knowledge discovery
- AI for organizational learning and innovation
- Data-driven decision making in organizations
- Machine learning for domain-specific knowledge
- Visualization techniques for knowledge discovery
- Collaborative platforms for knowledge sharing
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.