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Hybrid Event

19th - 20th June 2026 | Kowloon City, Hong Kong

International Conference on Machine Learning and Big Data Visualization in IT (ICMLBDVIT - 26)

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4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICMLBDVIT) 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 Big Data,Machine Learning,Information Technology, 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
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

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.