Conference Session Tracks
학술대회 세션 트랙
This ICCSNM features a diverse range of session tracks designed to cover key research areas, emerging trends, and interdisciplinary innovations within the field of Statistics,Data Science.
Each track offers researchers, academicians, industry professionals, and practitioners a platform to present their work, exchange ideas, and explore the advancements shaping the future of the domain.
Aligned with the SDGs
지속가능발전목표(SDGs) 연계
UN Sustainable Development Goals
유엔 지속가능발전목표This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals, fostering knowledge exchange, innovation, and collaborative engagement.
All Session Tracks
전체 세션 트랙
Browse every track scheduled for this conference.
Advancements in Computational Statistics
This track focuses on the latest methodologies and techniques in computational statistics. Participants will explore innovative algorithms and their applications in various statistical problems.
Machine Learning Techniques in Data Science
This session will delve into the integration of machine learning methods within the realm of data science. Emphasis will be placed on practical applications and theoretical foundations.
Numerical Methods for Optimization Problems
This track addresses the development and application of numerical methods for solving optimization challenges. Discussions will include both theoretical insights and computational implementations.
Statistical Computing and Software Development
Participants will examine the role of statistical computing in modern research, focusing on software tools and programming techniques. This track encourages the sharing of best practices and innovative solutions.
Big Data Analytics and Statistical Techniques
This session will explore the intersection of big data and statistical methodologies. Topics will include data management, analysis techniques, and the implications for decision-making.
Regression and Classification Models
This track will cover advanced regression and classification techniques used in statistical modeling. Participants will discuss model selection, validation, and real-world applications.
Simulation Methods in Statistical Analysis
This session focuses on the use of simulation techniques for statistical inference and model evaluation. Participants will share insights on Monte Carlo methods and their applications.
Forecasting Methods and Applications
This track will explore various forecasting techniques and their applications across different domains. Emphasis will be placed on accuracy, reliability, and practical implementation.
Quantitative Methods in Applied Mathematics
Participants will investigate the role of quantitative methods in solving real-world problems through applied mathematics. This track encourages interdisciplinary approaches and collaborations.
Artificial Intelligence in Statistical Modeling
This session will examine the integration of artificial intelligence techniques in statistical modeling frameworks. Discussions will focus on enhancing model performance and interpretability.
Computational Models in Research Applications
This track will highlight the development and application of computational models in various research fields. Participants will discuss case studies and the impact of these models on scientific discovery.
Take Part in the Conference
학술대회 참가하기
Submit your abstract under the most relevant session track, or complete your registration to join the conference.