Call For Papers
The ICBDIKM 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 Computational Science,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:
- 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
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.