Call For Papers

The ICBDPMLM 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
Big data processing techniques and tools
02
Machine learning model development lifecycle
03
Real-time big data analytics solutions
04
Big data challenges in machine learning
05
Data mining techniques for big data
06
Machine learning for data classification
07
Big data integration with machine learning
08
Scalable machine learning frameworks
09
Big data preprocessing for ML models
10
Applications of reinforcement learning
11
Big data analytics for business intelligence
12
Machine learning for time series analysis
13
Big data visualization techniques
14
Data governance in machine learning projects
15
Big data security and privacy issues
16
Machine learning for sentiment analysis
17
Big data in financial services
18
Machine learning for supply chain optimization
19
Big data applications in retail
20
Future directions in big data processing

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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