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Spatiotemporal pattern mining: Algorithms and applications
Zhenhui Li
College of Information Sciences and Technology
Research output
:
Chapter in Book/Report/Conference proceeding
›
Chapter
27
Scopus citations
Overview
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Dive into the research topics of 'Spatiotemporal pattern mining: Algorithms and applications'. Together they form a unique fingerprint.
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Keyphrases
Aggregative
50%
Fast Development
50%
Human Mobility
50%
Mining Applications
100%
Mining Pattern
50%
Multiple Trajectories
50%
Pattern Mining Algorithm
100%
Planning Study
50%
Smart Transportation
50%
Urban Planning
50%
Earth and Planetary Sciences
Data Mining
100%
Smart Transportation
100%
Spatiotemporal Patterns
100%
State of the Art
100%
Urban Planning
100%
Computer Science
Data Mining Technique
33%
Mining Pattern
33%
Pattern Discovery
33%
Pattern Mining
100%
Spatiotemporal Data
100%
Biochemistry, Genetics and Molecular Biology
Ecological Study
100%