International Conference on Knowledge Discovery and Machine Learning
(ICKDML - 27)

12th - 13th June 2027 Salzburg, Austria (Hybrid Event)

Call for Paper

The ICKDML is committed to addressing global challenges through impactful research and sustainable solutions. It brings together researchers dedicated to advancing knowledge for societal benefit. Focusing on Machine Learning, the conference promotes research aligned with global development goals and long-term sustainability. 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
Review & Publication

All submissions will be reviewed for their contribution to global impact and research quality. Accepted papers will be presented and considered for publication in reputed platforms.

Registration

Join participants from around the world by completing your registration and becoming part of a global research community.

Publication

Accepted papers will gain international exposure through conference presentations and publication opportunities.

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