Registration summary
ConferenceICBDPMLM
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
ICBDPMLM conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.
01 Innovations in Big Data Processing +
This track focuses on the latest advancements in big data processing techniques and technologies. Researchers are invited to present their findings on scalable systems and data integration methods that enhance data handling capabilities.
02 Machine Learning Algorithms for Predictive Analytics +
This session will explore novel machine learning algorithms specifically designed for predictive analytics applications. Contributions that demonstrate improvements in accuracy and efficiency are particularly welcome.
03 AI Algorithms in Cloud Computing +
This track examines the integration of artificial intelligence algorithms within cloud computing environments. Papers should address challenges and solutions related to deploying AI in scalable cloud infrastructures.
04 Data Engineering for Intelligent Systems +
Focusing on the role of data engineering in the development of intelligent systems, this track invites submissions that highlight innovative data management and processing techniques. Emphasis will be placed on methodologies that improve system intelligence.
05 Optimization Techniques in Big Data Analytics +
This session will delve into optimization techniques that enhance the performance of big data analytics frameworks. Researchers are encouraged to share their insights on algorithmic improvements and computational efficiencies.
06 Automation in Machine Learning Applications +
This track addresses the automation of machine learning processes and its implications for various applications. Papers should discuss frameworks and tools that facilitate automated model training and deployment.
07 IT Infrastructure for Big Data Solutions +
This session focuses on the critical role of IT infrastructure in supporting big data solutions. Contributions should explore architectural designs and technologies that enable robust data processing capabilities.
08 Data Science Methodologies in Engineering +
This track invites discussions on the application of data science methodologies within engineering contexts. Papers should highlight case studies or frameworks that demonstrate the impact of data-driven decision-making.
09 Business Intelligence through Advanced Analytics +
This session will explore the intersection of business intelligence and advanced analytics techniques. Researchers are encouraged to present innovative approaches that leverage big data for strategic business insights.
10 Scalable Systems for Data Integration +
This track examines the challenges and solutions associated with building scalable systems for data integration. Contributions should focus on novel architectures and technologies that facilitate seamless data flow.
11 Emerging Trends in Intelligent Systems +
This session will explore emerging trends and technologies in the field of intelligent systems. Papers should address new methodologies, applications, and the future direction of intelligent system development.
