Registration summary
ConferenceICBDIKM
ModeStandard / Physical
ParticipationListener
Registration fee$155.00
Bank charges (5.8%)$8.99
Total payable$163.99
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
ICBDIKM conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.
01 Advancements in Machine Learning Techniques +
This track focuses on the latest developments in machine learning algorithms and their applications in big data contexts. Researchers are encouraged to present novel approaches that enhance predictive accuracy and computational efficiency.
02 Data Integration Strategies for Knowledge Management +
This session will explore innovative methodologies for integrating diverse data sources to support effective knowledge management. Emphasis will be placed on frameworks that facilitate seamless data interoperability and accessibility.
03 Cloud Computing Solutions for Big Data Analytics +
This track examines the role of cloud computing in enabling scalable and efficient big data analytics. Contributions should highlight cloud-based architectures that enhance data processing and storage capabilities.
04 Optimization Techniques in Computational Science +
This session is dedicated to the exploration of optimization methods applicable to complex computational problems. Researchers are invited to discuss algorithms that improve performance in various scientific and engineering domains.
05 Predictive Modeling in Data-Driven Decision Support +
This track will address the development and application of predictive modeling techniques to enhance decision-making processes. Papers should focus on case studies that demonstrate the impact of predictive analytics in real-world scenarios.
06 Artificial Intelligence in Data Science Applications +
This session will delve into the intersection of artificial intelligence and data science, showcasing applications that leverage AI techniques for data analysis. Contributions should highlight innovative use cases that drive insights from large datasets.
07 Business Intelligence and Data Warehousing Innovations +
This track focuses on the evolution of business intelligence tools and data warehousing solutions in the context of big data. Researchers are encouraged to present advancements that improve data retrieval and analytical capabilities.
08 Simulation Models for Complex Systems +
This session will explore the development and application of simulation models to understand and predict behaviors in complex systems. Contributions should emphasize methodologies that enhance the accuracy and reliability of simulations.
09 Automation in Data Processing and Analysis +
This track examines the role of automation in streamlining data processing and analytical workflows. Papers should discuss tools and techniques that reduce manual intervention and enhance efficiency in data handling.
10 Digital Transformation through Data Analytics +
This session will focus on how data analytics drives digital transformation across various industries. Researchers are invited to present case studies that illustrate the strategic use of analytics in organizational change.
11 Algorithms for Enhanced Data Management +
This track will investigate novel algorithms designed to improve data management practices in big data environments. Contributions should highlight techniques that optimize data storage, retrieval, and processing.
