Hybrid Conferencee

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

17th - 18th July 2026 | George Town, Malaysia
Sample Abstract
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Conference Brochure
Sample Full Paper
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Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in George Town. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the George Town event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the George Town conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in George Town, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in George Town."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

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:

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