Call For Papers
The ICDSCBCM 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 Data Science, 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:
- Cloud computing frameworks for data science
- Scalable machine learning algorithms in the cloud
- Data storage solutions for big data analytics
- Distributed computing for data science applications
- Data security in cloud-based systems
- Real-time data processing in cloud environments
- Cloud-based tools for collaborative data analysis
- Integration of IoT data in cloud platforms
- Data science workflows in cloud ecosystems
- Performance optimization for cloud data applications
- Cost-effective data storage strategies
- Data governance in cloud computing
- Machine learning model deployment in the cloud
- Data pipelines for cloud-based analytics
- Cloud services for data visualization
- Serverless architectures for data science
- Data science education in cloud environments
- Hybrid cloud solutions for data analytics
- Cloud-native applications for data science
- Future trends in cloud-based data science
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.