International Conference on

Knowledge Discovery and Machine Learning (ICKDML-26)

14th – 15th Dec 2026 | Macau, China | Hybrid Mode
Proudly organized by the : Institute for Global Academic Excellence (IGAE)

Call for Papers

The International Conference on Knowledge Discovery and Machine Learning invites researchers, academicians, industry professionals, and practitioners to submit original and high-quality research contributions. The conference aims to provide a global platform for knowledge exchange, innovation, and collaboration across diverse research domains.

This conference focuses on emerging trends, practical challenges, and cutting-edge advancements in areas such as Machine Learning encouraging interdisciplinary research and innovative approaches to solving real-world problems.

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

01
Knowledge representation and machine learning
02
Data mining techniques for knowledge discovery
03
Machine learning for pattern recognition
04
Semantic web technologies and AI
05
Knowledge graphs in machine learning applications
06
AI for decision support systems
07
Collaborative knowledge discovery approaches
08
Ethics in knowledge discovery processes
09
Machine learning for information retrieval
10
Interdisciplinary applications of knowledge discovery
11
Real-time knowledge extraction techniques
12
Impact of AI on knowledge management
13
Machine learning for scientific discovery
14
Knowledge-based systems and AI
15
Future trends in knowledge discovery
16
AI for organizational learning and innovation
17
Data-driven decision making in organizations
18
Machine learning for domain-specific knowledge
19
Visualization techniques for knowledge discovery
20
Collaborative platforms for knowledge sharing
Conference Registration
  • Accepted authors must register for the conference to present their work.
  • Early registration allows you to take advantage of discounted fees.
  • Check the registration page for more details.
Publication Opportunities

Selected papers will be published in the IGAE Conference Proceedings or other journals affiliated with IGAE. Authors whose papers are accepted for publication will be notified in advance.

Event Highlights
  • Keynote sessions by experienced speakers
  • Technical paper presentations across multiple topics
  • Opportunities for academic and professional networking
  • Discussions on current research developments

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