Pre-Enrollment

13th October 2026

Final Paper Submission

18th October 2026

Registration Deadline

28th October`2026

Conference Date

12th Nov - 13th Nov 2026

Call for Papers

The International Conference on Knowledge Discovery and Machine Learning invites researchers, academicians, industry experts, and practitioners to submit original and high-quality research contributions. This conference serves as a global platform for presenting innovative ideas, exchanging knowledge, and fostering interdisciplinary collaboration.

Focusing on key research areas such as Machine Learning, the conference aims to bridge theoretical advancements with real-world applications.

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

To confirm your participation and secure your presentation slot, authors of accepted papers must complete the registration. Early registration is highly recommended to enjoy discounted fees.

Register Now to Confirm Participation
Publication & Submission

Present your findings to a global audience. All accepted papers are eligible for publication in ISER-affiliated journals and conference proceedings, providing you with maximum academic visibility.

Submit Your Paper for Review