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Discovering multi-dimensional motifs from multi-dimensional time series for air pollution control.
Bo Liu
Huaipu Zhao
Yinxing Liu
Suyu Wang
Jianqiang Li
Yong Li
Jianlei Lang
Rentao Gu
Published in:
Concurr. Comput. Pract. Exp. (2020)
Keyphrases
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multi dimensional
pollution control
multi dimensional time series
index structure
range queries
telemetry data
dna sequences
data cube
sequential pattern mining
multiple dimensions
high dimensional
expert systems
sequential patterns
motif finding