Hybrid Conferencee

International Conference on Geospatial Data Mining and Machine Learning (ICGDML - 26)

24th - 25th June 2026 | Frankfurt, Germany
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Conference Brochure
Sample Full Paper
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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Frankfurt. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Frankfurt event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Frankfurt conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Frankfurt, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Frankfurt."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICGDML aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in GIS (Geographic Information Systems), encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Geospatial data mining techniques and applications
02
Machine learning for spatial data analysis
03
Spatial clustering methods in data mining
04
Geospatial big data challenges and solutions
05
GIS applications in predictive modeling
06
Data mining for environmental monitoring
07
Spatial data visualization and interpretation
08
Machine learning algorithms for geospatial data
09
GIS in urban analytics and planning
10
Geospatial data integration and fusion techniques
11
Applications of AI in geospatial analysis
12
Spatial regression models in data mining
13
Geospatial data mining for disaster management
14
Innovative applications of machine learning in GIS
15
Geospatial data mining in agriculture
16
Spatial decision support systems and data mining
17
GIS for social media data analysis
18
Geospatial data mining for transportation studies
19
Machine learning for land use classification
20
Future trends in geospatial data mining