Call For Papers

The ICMLBDVIT bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Big Data, Machine Learning, Information Technology , encouraging applied research, case studies, and industry-driven innovations.

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

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in reputed journals and conference proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.



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