Registration summary
ConferenceICBDADM
ModeStandard / Physical
ParticipationListener
Registration fee$135.00
Bank charges (5.8%)$7.83
Total payable$142.83
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
ICBDADM conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.
01 Advancements in Predictive Modeling Techniques +
This track focuses on the latest methodologies in predictive modeling, emphasizing both supervised and unsupervised learning approaches. Researchers are encouraged to present novel algorithms and frameworks that enhance predictive accuracy in various applications.
02 Deep Learning for Big Data Applications +
This session explores the integration of deep learning techniques in the analysis of large-scale datasets. Contributions should highlight innovative architectures and their effectiveness in solving complex problems across diverse domains.
03 Anomaly Detection in Industrial Systems +
This track addresses the challenges and solutions related to anomaly detection within industrial IoT environments. Papers should discuss methodologies that improve system reliability and operational efficiency through timely anomaly identification.
04 Feature Extraction and Dimensionality Reduction +
This session highlights advanced techniques for feature extraction and dimensionality reduction in big data contexts. Contributions should demonstrate how these techniques facilitate improved model performance and interpretability.
05 Workflow Automation in Data Processing +
This track examines the role of workflow automation in large-scale data processing environments. Participants are invited to share insights on tools and frameworks that streamline data workflows and enhance productivity.
06 Model Evaluation and Performance Metrics +
This session focuses on the critical aspects of model evaluation, including the development of robust performance metrics. Papers should provide insights into best practices for assessing model efficacy in real-world scenarios.
07 Data Visualization Techniques for Big Data +
This track explores innovative data visualization techniques that aid in the interpretation of complex datasets. Contributions should demonstrate how effective visualization can enhance data-driven decision-making processes.
08 Resource Optimization in Data-Driven Systems +
This session addresses strategies for resource optimization in systems driven by big data analytics. Papers should focus on methodologies that balance computational efficiency with data processing demands.
09 Pattern Recognition in Large Datasets +
This track investigates advanced pattern recognition techniques applicable to large datasets. Researchers are encouraged to present their findings on algorithms that uncover meaningful patterns and insights from complex data.
10 Digital Twin Technologies and Applications +
This session focuses on the implementation of digital twin technologies in various engineering applications. Contributions should explore how digital twins leverage big data analytics to enhance operational efficiency and predictive maintenance.
11 Machine Learning for Data-Driven Decision Making +
This track emphasizes the role of machine learning in facilitating data-driven decision-making processes. Papers should highlight case studies and frameworks that illustrate the impact of machine learning on organizational outcomes.
