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ICDDMBI · Registering as Listener

International Conference on Data-Driven Decision Making and Business Intelligence

19 - 20 Nov 2026 New York, USA Standard / Physical Participation
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$115
virtual · $175 in person
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Registration summary

ConferenceICDDMBI
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

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

SDG 3 - Good Health and Well-being SDG 4 - Quality Education SDG 8 - Decent Work and Economic Growth SDG 9 - Industry, Innovation and Infrastructure
01 Advancements in Predictive Analytics +
This track focuses on the latest methodologies and applications in predictive analytics, emphasizing their role in enhancing decision-making processes. Researchers are invited to present innovative techniques that leverage historical data to forecast future trends.
02 Machine Learning Techniques for Business Intelligence +
This session explores the integration of machine learning algorithms within business intelligence frameworks. Contributions should highlight case studies and practical applications that demonstrate the effectiveness of these techniques in real-world scenarios.
03 Data Mining Approaches for Knowledge Discovery +
This track delves into various data mining techniques that facilitate knowledge discovery from large datasets. Papers should discuss novel algorithms and their applications in extracting actionable insights across different industries.
04 Big Data Analytics in Decision Support Systems +
This session addresses the challenges and solutions associated with big data analytics in the context of decision support systems. Researchers are encouraged to share findings on how big data can enhance decision-making capabilities.
05 Statistical Methods for Data-Driven Decision Making +
This track emphasizes the importance of statistical methodologies in supporting data-driven decision-making processes. Submissions should focus on innovative statistical models and their applications in various business contexts.
06 Forecasting Techniques in Business Applications +
This session highlights advanced forecasting techniques and their relevance in business applications. Participants are invited to present research that showcases the impact of accurate forecasting on strategic planning and operational efficiency.
07 Algorithms for Enhanced Data Analysis +
This track investigates novel algorithms designed to improve data analysis processes. Contributions should demonstrate how these algorithms can optimize data interpretation and support informed decision-making.
08 Ethics and Governance in Data Science +
This session addresses the ethical considerations and governance frameworks necessary for responsible data science practices. Papers should explore the implications of data usage and the importance of ethical standards in decision-making.
09 Real-Time Data Processing and Analytics +
This track focuses on the challenges and innovations in real-time data processing and analytics. Researchers are invited to present solutions that enable timely decision-making through the analysis of streaming data.
10 Visualization Techniques for Data Interpretation +
This session explores the role of data visualization in enhancing the interpretation of complex datasets. Submissions should highlight innovative visualization techniques that aid in effective communication of data-driven insights.
11 Applications of Data Science in Various Industries +
This track showcases the diverse applications of data science across various sectors, including finance, healthcare, and marketing. Researchers are encouraged to present case studies that illustrate the transformative impact of data science on industry practices.