Call For Papers
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:
- Geospatial data mining techniques and applications
- Machine learning for spatial data analysis
- Spatial clustering methods in data mining
- Geospatial big data challenges and solutions
- GIS applications in predictive modeling
- Data mining for environmental monitoring
- Spatial data visualization and interpretation
- Machine learning algorithms for geospatial data
- GIS in urban analytics and planning
- Geospatial data integration and fusion techniques
- Applications of AI in geospatial analysis
- Spatial regression models in data mining
- Geospatial data mining for disaster management
- Innovative applications of machine learning in GIS
- Geospatial data mining in agriculture
- Spatial decision support systems and data mining
- GIS for social media data analysis
- Geospatial data mining for transportation studies
- Machine learning for land use classification
- Future trends in geospatial data mining
Assessment
Submissions will be assessed for originality, innovation, and relevance. Accepted papers will be presented at the conference and considered for publication opportunities in reputed academic platforms.
Registration
Participants are requested to complete the registration process following acceptance of their paper. Registration ensures inclusion in the conference schedule and official records.
Publication
All accepted manuscripts will be eligible for publication consideration in conference proceedings and associated academic journals.