Call For Papers
The ICBDPMLM aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.
The conference highlights advancements in Big Data,Machine Learning,Information Technology, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.
Authors are invited to submit papers addressing, but not limited to, the following areas:
- Big data processing techniques and tools
- Machine learning model development lifecycle
- Real-time big data analytics solutions
- Big data challenges in machine learning
- Data mining techniques for big data
- Machine learning for data classification
- Big data integration with machine learning
- Scalable machine learning frameworks
- Big data preprocessing for ML models
- Applications of reinforcement learning
- Big data analytics for business intelligence
- Machine learning for time series analysis
- Big data visualization techniques
- Data governance in machine learning projects
- Big data security and privacy issues
- Machine learning for sentiment analysis
- Big data in financial services
- Machine learning for supply chain optimization
- Big data applications in retail
- Future directions in big data processing
Assessment
Submissions will be assessed for originality, innovation, and relevance. Accepted papers will be presented at the conference and considered for publication opportunities in reputed academic platforms.
Registration
Participants are requested to complete the registration process following acceptance of their paper. Registration ensures inclusion in the conference schedule and official records.
Publication
All accepted manuscripts will be eligible for publication consideration in conference proceedings and associated academic journals.