Registration summary
ConferenceICBDASM
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
ICBDASM conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.
01 Advancements in Big Data Analytics +
This track focuses on the latest methodologies and tools in big data analytics, emphasizing their application in various domains. Participants will explore innovative techniques that enhance data processing and interpretation.
02 Statistical Modeling Techniques +
This session will delve into contemporary statistical modeling approaches, highlighting their relevance in understanding complex data structures. Researchers are encouraged to present novel models that address real-world challenges.
03 Machine Learning Applications in Statistics +
This track aims to bridge the gap between machine learning and traditional statistical methods. Contributions will showcase how machine learning algorithms can enhance statistical analysis and inference.
04 Data Mining Strategies for Knowledge Discovery +
Participants will discuss advanced data mining techniques that facilitate knowledge discovery from large datasets. The focus will be on practical applications and case studies that demonstrate the effectiveness of these strategies.
05 Predictive Analytics in Decision Making +
This session will explore the role of predictive analytics in informing decision-making processes across various sectors. Researchers are invited to share insights on models that enhance predictive accuracy and reliability.
06 Computational Statistics: Methods and Applications +
This track will cover computational approaches in statistics, emphasizing their application in solving complex statistical problems. Discussions will include algorithm development and performance evaluation.
07 Artificial Intelligence in Statistical Analysis +
This session will investigate the intersection of artificial intelligence and statistical analysis, focusing on how AI techniques can improve statistical methodologies. Contributions should highlight innovative applications and theoretical advancements.
08 High-Dimensional Data Challenges +
Participants will address the unique challenges posed by high-dimensional data in statistical modeling and analysis. This track seeks contributions that propose novel solutions and methodologies for effective high-dimensional data handling.
09 Statistical Algorithms for Big Data +
This session will focus on the development and application of statistical algorithms designed for big data environments. Researchers are encouraged to present work that demonstrates the scalability and efficiency of these algorithms.
10 Applications of Data Science in Statistics +
This track will explore the integration of data science principles into statistical practice, highlighting innovative applications across various fields. Contributions should demonstrate how data science enhances statistical methodologies.
11 Emerging Trends in Statistical Research +
This session will provide a platform for discussing emerging trends and future directions in statistical research. Researchers are invited to share their findings and insights on cutting-edge topics in statistics.
