Extracting Causal Rules from Spatio-Temporal Data

Antony Galton; Matt Duckham; Alan Both

doi:10.1007/978-3-319-23374-1_2

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Extracting Causal Rules from Spatio-Temporal Data

Antony Galton Matt Duckham Alan Both

Year: 2015 Lecture notes in computer science Pages: 23-43 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-319-23374-1_2

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Keywords:

Computer science Causality (physics) Causation Event (particle physics) Set (abstract data type) Causal structure Granularity Data mining Probabilistic logic Logical data model Movement (music) Range (aeronautics) Synthetic data Artificial intelligence Algorithm Theoretical computer science Data modeling Epistemology

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Bayesian Modeling and Causal Inference

Physical Sciences → Computer Science → Artificial Intelligence

Data Management and Algorithms

Physical Sciences → Computer Science → Signal Processing

Data Mining Algorithms and Applications

Physical Sciences → Computer Science → Information Systems

Extracting Causal Rules from Spatio-Temporal Data

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