International Conference on Engineering Informatics and Data Mining

ICEIDM

24th Mar – 25th Mar 2027 Doha, Qatar

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Registration Summary

Conference ICEIDM

Date 24th Mar – 25th Mar 2027

Location Doha, Qatar

Participation Type Listener

Organizer Science Leagues

Registration Mode Standard / Physical

Registration Fee USD 0.00

Bank Convenience Charges (5.8%)i USD 0.00

Calculated based on 5.8% of the registration fee

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Total Payable USD 0.00

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Conference Session Tracks

Aligned with UN Sustainable Development Goals

The conference's session tracks effectively support the following SDGs.

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.

SDG 9 SDG 12

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.

SDG 9 SDG 12

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.

SDG 8 SDG 9

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.

SDG 9 SDG 12

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.

SDG 9 SDG 12

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.

SDG 9 SDG 11

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.

SDG 9 SDG 16

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.

SDG 12 SDG 13

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.

SDG 9 SDG 12

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.

SDG 9 SDG 16

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.

SDG 16 SDG 17