Hybrid Conference (In Person / Virtual)

International Conference on Geospatial Data Mining and Machine Learning (ICGDML - 27)
13th - 14th January 2027 , Ullapara Upazila, Bangladesh
** Important Notice      Beware of fraudulent emails and calls impersonating IIRD Conference to collect conference and journal fees. Ensure all payments are processed only through our official event website. Report suspicious activity to [email protected].

Call For Papers

The ICGDML provides a supportive platform for both experienced researchers and early-career academicians to present their work and gain recognition.

The conference covers diverse topics such as Gis, encouraging participation from emerging researchers and fostering academic growth.

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

Assessment

Submissions will be reviewed to ensure quality and relevance, with a focus on encouraging emerging research contributions. Accepted papers will be presented and considered for publication opportunities.

Registration

Early-career researchers are encouraged to register and present their work, gaining valuable feedback and academic exposure.

Publication

The conference provides opportunities for emerging researchers to publish their work in recognized platforms.