10% OFF

ON THE TOTAL FEE

Input this Professional Credit at checkout for a max $30.00 offset.

FAST10

10% OFF

ON THE TOTAL FEE

Input this Professional Credit at checkout for a max $30.00 offset.

FAST10
** Fraud Prevention Notice      Be cautious of scams involving cloned emails and fake phone numbers requesting conference or journal fees. Only make payments via Science Net's official event platform and notify us immediately at [email protected] if you suspect fraud.

Hybrid Event

7th - 8th August 2026 | Frankfurt, Germany

International Conference on Electrical Engineering and Data Mining Integration (ICEEDMI - 26)

4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICEEDMI) 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 integration in electrical engineering
02
Machine learning applications in electrical systems
03
Data mining for predictive maintenance in electrical engineering
04
Data mining for energy management
05
Data mining for fault detection in electrical systems
06
Data mining for performance optimization in electrical engineering
07
Data mining for safety improvements in electrical systems
08
Data mining for resource management in electrical projects
09
Data mining for quality assurance in electrical engineering
10
Data mining for customer behavior analysis in electrical systems
11
Data mining for regulatory compliance in electrical engineering
12
Data mining for innovation in electrical design
13
Data mining for operational efficiency in electrical systems
14
Data mining for real-time monitoring of electrical systems
15
Future trends in electrical engineering data mining
16
Data mining for risk assessment in electrical projects
17
Data mining for performance monitoring in electrical systems
18
Data mining for cost reduction in electrical engineering
19
Case studies of data mining in electrical engineering
20
Data mining for environmental sustainability in electrical systems

Peer Review Process

All submissions evaluated through structured peer-review to ensure academic rigor. Accepted papers may be considered for high-quality journals.

Registration Details

Secure your participation early. Limited slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions prioritized for publication in recognized journals and proceedings.

2026 UPDATE

Consistent Academic Support

Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.