HYBRID EVENT: You can participate in person at Kisumu, Kenya or Virtually from your home or work

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Call For Papers

The ICKDML 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 Machine Learning, encouraging applied research, case studies, and industry-driven innovations.

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

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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