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Call For Papers

The ICGDML bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on GIS (Geographic Information Systems), encouraging applied research, case studies, and industry-driven innovations.

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

Evaluation

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in relevant journals and proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

Submit Your Paper Now Confirm Your Participation Today
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