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Hybrid Event

17th - 18th August 2026 | Toronto, Canada

International Conference on Knowledge Discovery and Machine Learning (ICKDML - 26)

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4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICKDML) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Machine Learning, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

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

Peer Review Process

All submissions evaluated through structured peer-review to ensure academic rigor. Accepted papers may be considered for high-quality journals.

Registration Details

Secure your participation early. Limited slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions prioritized for publication in recognized journals and proceedings.

Submit Your Paper Today Register Early
2026 UPDATE

Consistent Academic Support

Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.