Scope of Submission
We welcome submissions from a broad range of disciplines, including but not limited to:
- Knowledge management in big data contexts
- Data integration techniques for heterogeneous sources
- Big data analytics for decision making
- Machine learning for knowledge discovery
- Data governance in big data environments
- Challenges in big data integration
- Real-time knowledge management solutions
- AI for enhancing data quality
- Big data visualization for knowledge sharing
- Interdisciplinary approaches to data integration
- Big data in healthcare knowledge management
- Applications of big data in education
- Data-driven strategies for knowledge creation
- Future trends in big data integration
- Collaborative knowledge management practices
- Big data for enhancing organizational learning
- Ethics in big data knowledge management
- Machine learning for data-driven insights
- Big data solutions for research collaboration
- Knowledge management frameworks for big data
All papers must be original and not previously published or submitted elsewhere.
