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ICBDASA · Registering as Listener

International Conference on Big Data Analytics and Statistical Applications

17 - 18 Nov 2026 Munich, Germany Standard / Physical Participation
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$115
virtual · $175 in person
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Registration summary

ConferenceICBDASA
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

ICBDASA 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
01 Advanced Statistical Methods in Big Data +
This track focuses on innovative statistical methodologies tailored for big data contexts. Participants will explore techniques that enhance data interpretation and decision-making processes.
02 Machine Learning Techniques for Data Analysis +
This session will delve into the application of machine learning algorithms in data analysis and predictive modeling. Emphasis will be placed on practical implementations and case studies.
03 Predictive Modeling in Complex Systems +
This track examines the development and application of predictive models in various complex systems. Attendees will discuss the challenges and solutions in forecasting outcomes using statistical techniques.
04 Artificial Intelligence in Statistical Applications +
This session explores the intersection of artificial intelligence and statistical applications. Participants will analyze how AI can enhance statistical modeling and data analysis.
05 Data Mining Techniques for Big Data Insights +
This track will cover advanced data mining techniques that facilitate the extraction of meaningful insights from large datasets. Discussions will include methodologies and tools that support effective data mining.
06 Regression Analysis in Big Data Environments +
This session focuses on the application of regression analysis techniques in the context of big data. Participants will explore various regression models and their effectiveness in real-world scenarios.
07 Clustering Algorithms for Data Segmentation +
This track will investigate clustering algorithms used for data segmentation and pattern recognition. Attendees will learn about the latest advancements and applications in clustering techniques.
08 Data Analytics for Decision Support Systems +
This session emphasizes the role of data analytics in enhancing decision support systems. Participants will discuss methodologies that improve data-driven decision-making processes.
09 Simulation Techniques in Statistical Research +
This track will explore the use of simulation techniques in statistical research and analysis. Participants will discuss the benefits and challenges of implementing simulations in various fields.
10 Quantitative Methods in Data Science +
This session will focus on quantitative methods that underpin data science practices. Participants will explore statistical techniques that enhance data analysis and interpretation.
11 Optimization Techniques in Big Data Analytics +
This track examines optimization techniques that improve the efficiency of big data analytics. Discussions will include algorithms and methodologies that enhance performance in data processing.