Pre-Enrollment

15th November 2026

Final Paper Submission

20th November 2026

Registration Deadline

30th November`2026

Conference Date

15th Dec - 16th Dec 2026

Call for Papers

The International Conference on Machine Learning and Big Data Visualization in IT 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 Big Data,Machine Learning,Information Technology, 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
Visualization Techniques For Big Data
02
Machine Learning For Data Representation
03
Ai In Interactive Data Visualization
04
Big Data Storytelling Through Visualization
05
Real-time Visualization Tools
06
Data Visualization For Business Insights
07
Machine Learning In Image Visualization
08
Big Data Dashboards And Reporting
09
User Experience In Data Visualization
10
Visualization Of Complex Data Sets
11
Ai-driven Visualization Solutions
12
Big Data In Geographic Information Systems
13
Visualization For Predictive Analytics
14
Data Visualization For Social Networks
15
Machine Learning For Visual Data Analysis
16
Big Data Visualization In Finance
17
Challenges In Data Visualization
18
Tools For Big Data Visualization
19
Future Of Data Visualization Technologies
20
Collaborative Data Visualization Platforms
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