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Hybrid Event

13th - 14th June 2026 | San Diego, USA

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

4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICGDML) 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 GIS (Geographic Information Systems), 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
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

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.