A framework applies frequent itemset mining with the negFIN algorithm and unsupervised learning to identify cities sharing co-occurring land use patterns from Copernicus Urban Atlas data.
Image-Based Machine Learning and Cluster Analysis for Urban Road Network: Employing Orange for Codeless Visual Programming
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pykci transforms CityGML 2.0 datasets into a compact, spatially indexed Neo4j knowledge graph supporting LLM text-to-Cypher queries, demonstrated on Hamburg LoD2 data with lossless round-trip to CityGML.
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Exploring Urban Land Use Patterns by Pattern Mining and Unsupervised Learning
A framework applies frequent itemset mining with the negFIN algorithm and unsupervised learning to identify cities sharing co-occurring land use patterns from Copernicus Urban Atlas data.
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pykci: A Compact Urban Knowledge Graph for Semantic and Spatial Queries using LLMs
pykci transforms CityGML 2.0 datasets into a compact, spatially indexed Neo4j knowledge graph supporting LLM text-to-Cypher queries, demonstrated on Hamburg LoD2 data with lossless round-trip to CityGML.