Registration summary
ConferenceICDSABF
ModeStandard / Physical
ParticipationListener
Registration fee$175.00
Bank charges (5.8%)$10.15
Total payable$185.15
Includes all bank processing charges — the amount above is exactly what will be charged.
Benefits of Registering as Listener
Access to Conference Sessions
Networking Opportunities
Certificate of Participation
Invitation Letter Support
Conference Kit / Materials
Access to Keynote Sessions
• Conference Session Tracks •
SDG-Aligned Research Themes
ICDSABF conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.
01 Advanced Predictive Modeling Techniques +
This track focuses on innovative approaches to predictive modeling in business and finance. Participants will explore methodologies that enhance forecasting accuracy and decision-making processes.
02 Machine Learning Applications in Finance +
This session will delve into the integration of machine learning algorithms in financial analysis and risk management. Attendees will discuss case studies and practical implementations that demonstrate the efficacy of these techniques.
03 Big Data Analytics for Business Insights +
This track emphasizes the role of big data in transforming business strategies and operations. Presentations will highlight analytical frameworks that leverage large datasets for actionable insights.
04 Statistical Methods for Risk Analysis +
This session aims to explore various statistical techniques used in assessing and managing financial risks. Discussions will include quantitative risk models and their applications in real-world scenarios.
05 Optimization Techniques in Financial Modeling +
This track will cover optimization strategies that enhance financial modeling accuracy and efficiency. Participants will examine algorithms and tools that facilitate optimal decision-making in finance.
06 Data Mining Techniques in Business Analytics +
This session will investigate the application of data mining techniques to uncover patterns and trends in business data. Attendees will learn how these insights can drive strategic business decisions.
07 Regression and Classification in Data Science +
This track focuses on the application of regression and classification techniques in various business contexts. Participants will discuss methodologies and their effectiveness in predictive analytics.
08 Simulation Methods for Financial Forecasting +
This session will explore simulation techniques used for forecasting financial outcomes. Participants will analyze how these methods can improve the reliability of financial predictions.
09 Decision Support Systems in Business Analytics +
This track examines the development and implementation of decision support systems that utilize statistical analysis and data science. Discussions will highlight their impact on enhancing business decision-making.
10 Applied Statistics in Business Research +
This session will focus on the application of statistical methods in empirical business research. Participants will share insights on how statistical analysis informs business practices and strategies.
11 Emerging Trends in Data Science and Finance +
This track will highlight the latest trends and innovations in the intersection of data science and finance. Participants will explore future directions and the implications of these advancements for the industry.
