Registration summary
ConferenceICBDAMLF
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.
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
ICBDAMLF conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.
01 Advancements in Big Data Analytics +
This track focuses on the latest methodologies and technologies in big data analytics. Researchers are invited to present innovative approaches that enhance data processing and interpretation.
02 Machine Learning Frameworks and Applications +
This session explores various machine learning frameworks and their practical applications across different industries. Contributions that demonstrate the effectiveness of these frameworks in solving real-world problems are encouraged.
03 Cloud Computing for Big Data Solutions +
This track examines the role of cloud computing in facilitating big data analytics. Papers should address scalability, performance, and security challenges associated with cloud-based data processing.
04 AI Algorithms for Predictive Analytics +
This session delves into artificial intelligence algorithms specifically designed for predictive analytics. Submissions should highlight novel techniques that improve prediction accuracy and efficiency.
05 Data Integration Techniques in IT Systems +
This track focuses on innovative data integration techniques that enhance the interoperability of IT systems. Researchers are encouraged to present solutions that address data silos and improve data accessibility.
06 Scalable Computing for Big Data Challenges +
This session addresses the challenges of scalable computing in the context of big data. Contributions should explore architectures and algorithms that enable efficient processing of large datasets.
07 System Optimization in Machine Learning +
This track investigates optimization techniques that enhance the performance of machine learning systems. Papers should present novel strategies for improving model training and inference times.
08 Automation in Data Analytics +
This session focuses on the automation of data analytics processes through advanced technologies. Submissions should explore how automation can improve efficiency and reduce human intervention in analytics workflows.
09 Business Intelligence and Data Modeling +
This track examines the intersection of business intelligence and data modeling. Researchers are invited to present frameworks that facilitate better decision-making through effective data representation.
10 Intelligent Systems for Data-Driven Insights +
This session explores the development of intelligent systems that leverage big data for actionable insights. Contributions should highlight the integration of machine learning and data analytics in creating smart solutions.
11 Innovations in IT Infrastructure for Big Data +
This track focuses on the innovations in IT infrastructure that support big data analytics and machine learning frameworks. Papers should discuss advancements in hardware, software, and network technologies that enhance data processing capabilities.
