Scope of Submission
We welcome submissions from a broad range of disciplines, including but not limited to:
- Data science methodologies for big data
- Big data systems architecture and design
- Machine learning techniques for data science
- Data preprocessing and cleaning strategies
- Big data analytics in various industries
- Data science applications in business intelligence
- Ethics in data science practices
- Data visualization in data science projects
- Big data storage solutions and technologies
- Collaborative data science projects
- Real-world case studies in data science
- Data science for predictive modeling
- Data governance in data science initiatives
- Emerging trends in data science research
- Big data frameworks and tools comparison
- Data science education and training programs
- Big data challenges and solutions
- Interdisciplinary approaches to data science
- Data science for social good
- Future directions in data science
All papers must be original and not previously published or submitted elsewhere.
