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ICDMKDS · Registering as Listener

International Conference on Data Mining and Knowledge Discovery in Statistics

11 - 12 Jun 2027 Copenhagen, Denmark Standard / Physical Participation
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$115
virtual · $175 in person
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Registration summary

ConferenceICDMKDS
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.

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• Conference Session Tracks •
SDGs
SDG-Aligned Research Themes

ICDMKDS conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.

SDG 4 - Quality Education SDG 9 - Industry, Innovation and Infrastructure SDG 11 - Sustainable Cities and Communities SDG 12 - Responsible Consumption and Production
01 Advancements in Predictive Analytics +
This track focuses on the latest methodologies and applications in predictive analytics within various domains. Researchers are encouraged to present innovative algorithms that enhance prediction accuracy and efficiency.
02 Machine Learning Techniques for Data Mining +
This session explores cutting-edge machine learning techniques that facilitate effective data mining processes. Contributions should highlight novel approaches to feature selection, model training, and evaluation.
03 Statistical Methods for Big Data +
This track addresses the challenges and solutions associated with applying statistical methods to big data. Papers should discuss innovative statistical techniques that can handle large-scale datasets while maintaining robustness.
04 Pattern Recognition and Classification Algorithms +
This session invites research on advanced pattern recognition and classification algorithms across diverse applications. Submissions should demonstrate the effectiveness of these algorithms in real-world scenarios.
05 Clustering Techniques in Data Science +
This track examines novel clustering techniques and their applications in data science. Researchers are encouraged to share insights on algorithm performance and the implications of clustering results.
06 Regression Analysis in Modern Statistics +
This session focuses on innovative regression analysis techniques and their applications in various fields. Contributions should emphasize advancements in regression models and their interpretability.
07 Simulation Methods in Statistical Research +
This track highlights the role of simulation methods in statistical research and data analysis. Papers should discuss the development and application of simulation techniques to address complex statistical problems.
08 Optimization Techniques in Data Mining +
This session explores optimization techniques that enhance data mining processes and outcomes. Researchers are invited to present methods that improve algorithm performance and resource efficiency.
09 Computational Statistics and Its Applications +
This track delves into computational statistics and its practical applications across various disciplines. Submissions should focus on computational methods that facilitate statistical inference and analysis.
10 Quantitative Methods in Data Science +
This session emphasizes the importance of quantitative methods in the field of data science. Researchers are encouraged to present studies that apply quantitative techniques to derive actionable insights from data.
11 Artificial Intelligence in Statistical Analysis +
This track investigates the intersection of artificial intelligence and statistical analysis. Contributions should explore how AI techniques can enhance traditional statistical methods and improve decision-making processes.