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Spatiotemporal periodical pattern mining in traffic data
Tanvi Jindal
, Prasanna Giridhar
, Lu An Tang
, Jun Li
,
Jiawei Han
Information Trust Institute
Carl R. Woese Institute for Genomic Biology
Siebel School of Computing and Data Science
Research output
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Chapter in Book/Report/Conference proceeding
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Conference contribution
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Keyphrases
Spatiotemporal
100%
Road Network
100%
Traffic Data
100%
Pattern Mining
100%
Periodical Patterns
100%
Periodic Excitation
60%
Periodic Pattern
40%
Frequent Patterns
40%
Road Sensor
40%
Probability Distribution
20%
Network Applications
20%
Geographical Distance
20%
Routing Mechanism
20%
Big Cities
20%
Extreme Weather Conditions
20%
Amount of Traffic
20%
Speed Data
20%
City Planning
20%
Best Route
20%
Traffic Jam
20%
Sensor Station
20%
Frequent Trajectory
20%
Distribution Matrix
20%
Similar Nodes
20%
Heavy Snowfall
20%
Density-based Spatial Clustering of Applications with Noise (DBSCAN)
20%
Traffic Routing
20%
City Traffic
20%
Road Traffic Data
20%
Contextual Knowledge
20%
Computer Science
Pattern Mining
100%
Periodic Behavior
100%
Frequent Patterns
66%
Routing Traffic
33%
Weather Condition
33%
Material Science
Density
100%