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A Machine-Learning Approach to Generalisation of GIS Data
A. Forghani, S. Kazemi,
D. Bruce
Research output
:
Contribution to journal
›
Article
›
peer-review
5
Citations (Scopus)
33
Downloads (Pure)
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Earth and Planetary Sciences
Apex
5%
Approach
100%
Australia
5%
Cartography
5%
Derivation
5%
Generalisation
100%
Geographic Information Systems
100%
Highway
5%
Improvement
5%
Inference
5%
Investigation
38%
Knowledge Representation
5%
Machine Learning
100%
Map Generalization
5%
Output
5%
Programming Environment
5%
Real Time
5%
Road Network
5%
Set
5%
Show
5%
Simplification
5%
Software
11%
Engineering
Characteristics
16%
Functionality
16%
Learning Approach
100%
Main Component
16%
Maps
100%
Multiscale
16%
Real World
16%
Road
16%
Road Network
16%
Small Scale
33%
Test Result
33%
Computer Science
Algorithms
25%
C Programming
12%
Computation
12%
Generalization Performance
12%
Inference Engines
12%
Knowledge Acquisition
12%
Machine Learning Approach
100%
Polyline Segment
12%
Programming Environment
12%
Real-World Problem
12%
Spatial Database
12%
User
50%