Call For Papers
The ICDSABF 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 Statistics,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:
- Data science applications in finance
- Predictive analytics in business strategies
- Machine learning for financial forecasting
- Data-driven decision making in business
- Statistical modeling for risk assessment
- Big data analytics in finance
- Data science in healthcare management
- Social media analytics for business insights
- Data visualization for business intelligence
- Statistical methods for customer segmentation
- Data science applications in marketing
- Predictive modeling for sales forecasting
- Financial data analysis using machine learning
- Data ethics in business applications
- Real-time analytics for business operations
- Data science for operational efficiency
- Statistical techniques for market analysis
- Data-driven innovation in finance
- Data science in supply chain management
- Future trends in data science applications
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.