The International Conference on Data Mining in Engineering Sciences is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.
With a strong focus on Data Mining, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.
Authors are invited to submit papers addressing, but not limited to, the following areas:
01
Data Mining Techniques In Engineering Applications
02
Predictive Analytics For Engineering Processes
03
Big Data Challenges In Engineering Sciences
04
Machine Learning For Engineering Problem Solving
05
Data Visualization Methods In Engineering
06
Statistical Methods For Engineering Data Analysis
07
Data Mining For Quality Control In Engineering
08
Optimization Algorithms In Engineering Design
09
Real-time Data Processing In Engineering
10
Data Mining For Predictive Maintenance
11
Text Mining Applications In Engineering Research
12
Data-driven Decision Making In Engineering
13
Data Mining For Energy Efficiency In Engineering
14
Integration Of Iot And Data Mining
15
Data Mining For Risk Assessment In Engineering
16
Ethical Considerations In Engineering Data Mining
17
Case Studies Of Data Mining In Engineering
18
Collaborative Data Mining In Engineering Projects
19
Data Mining For Sustainability In Engineering
20
Future Trends In Engineering Data Mining