Pre-Enrollment

18th October 2026

Final Paper Submission

23rd October 2026

Registration Deadline

2nd November`2026

Conference Date

17th Nov - 18th Nov 2026

Call for Papers

The International Conference on Geospatial Data Mining and Machine Learning invites researchers, academicians, industry experts, and practitioners to submit original and high-quality research contributions. This conference serves as a global platform for presenting innovative ideas, exchanging knowledge, and fostering interdisciplinary collaboration.

Focusing on key research areas such as GIS (Geographic Information Systems), the conference aims to bridge theoretical advancements with real-world applications.

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
Conference Registration

To confirm your participation and secure your presentation slot, authors of accepted papers must complete the registration. Early registration is highly recommended to enjoy discounted fees.

Register Now to Confirm Participation
Publication & Submission

Present your findings to a global audience. All accepted papers are eligible for publication in ISER-affiliated journals and conference proceedings, providing you with maximum academic visibility.

Submit Your Paper for Review