Registration summary
ConferenceICEIDM
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
ICEIDM conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.
01 Advancements in Predictive Analytics +
This track focuses on the latest methodologies and technologies in predictive analytics within engineering contexts. Participants will explore case studies that demonstrate the application of predictive models to enhance decision-making processes.
02 Machine Learning Techniques in Data Mining +
This session will delve into the integration of machine learning algorithms in data mining practices. Attendees will discuss innovative approaches to improve data-driven insights in engineering applications.
03 Knowledge Discovery in Industrial Applications +
This track aims to highlight the role of knowledge discovery techniques in optimizing industrial processes. Papers will showcase successful implementations that have led to significant operational improvements.
04 Simulation and Data Analysis in Engineering +
This session will examine the intersection of simulation techniques and data analysis in engineering disciplines. Researchers will present findings that illustrate how simulations can enhance data interpretation and decision support.
05 Process Optimization through Data Mining +
This track focuses on the application of data mining techniques to optimize engineering processes. Participants will share insights on how data-driven strategies can lead to enhanced efficiency and productivity.
06 Smart Systems and Data-Driven Engineering +
This session will explore the development of smart systems that leverage data mining for improved engineering outcomes. Discussions will include the role of IoT and AI in creating intelligent solutions.
07 Decision Support Systems in Engineering +
This track will investigate the design and implementation of decision support systems powered by data mining techniques. Researchers will present frameworks that facilitate informed decision-making in complex engineering environments.
08 Data Mining for Sustainable Engineering Practices +
This session will focus on the application of data mining in promoting sustainability within engineering practices. Papers will discuss how data-driven insights can lead to more environmentally friendly solutions.
09 Big Data Analytics in Engineering Informatics +
This track will address the challenges and opportunities presented by big data analytics in the field of engineering informatics. Participants will explore innovative tools and techniques for managing and analyzing large datasets.
10 Real-Time Data Processing in Engineering Applications +
This session will focus on the methodologies for real-time data processing in engineering contexts. Discussions will include the implications of real-time analytics for operational efficiency and responsiveness.
11 Ethical Considerations in Data Mining +
This track will explore the ethical implications of data mining practices in engineering. Participants will engage in discussions about responsible data usage and the societal impacts of engineering informatics.
