Discovery of Loose Group Companion From Trajectory Data Streams

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Vydané v:	IEEE Access Ročník 8; s. 85856 - 85868
Hlavní autori:	Thi Thi Shein, Sutheera Puntheeranurak, Makoto Imamura
Médium:	Journal Article
Jazyk:	Japanese
Vydavateľské údaje:	Institute of Electrical and Electronics Engineers (IEEE) 01.01.2020
Predmet:	Astronomy Chemistry Clustering of Time Series Data and Algorithms Computer network Computer science Data mining Data stream mining Electrical engineering. Electronics. Nuclear engineering GPS Trajectories Group (periodic table) Group pattern Location Prediction Location-Based Data loose group companion moving object clustering Organic chemistry Physical Sciences Physics Signal Processing Social Sciences spatial-temporal pattern STREAMS TK1-9971 Trajectory Trajectory Data Mining Trajectory Data Mining and Analysis trajectory data stream Transportation Travel Behavior Understanding Human Mobility Patterns
ISSN:	2169-3536
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ISSN:	2169-3536
DOI:	10.60692/banew-21534