Time Series Analytics
Time Series Analytics is a specialized branch of data analytics that focuses on the statistical and computational analysis of sequentially ordered temporal data points to identify patterns, trends, and forecasting models unique to time-dependent phenomena.
2.9K
Publications
175K
Citations
7.9K
Authors
2.2K
Institutions
Publications per year
2017–2026
1.4K
Variants
Time-series Analytics
Parents
2.9K
Clustering of time series data—a survey
T. Warren Liao · Pattern Recognition · 2005 · 2.4K citations
Experiencing SAX: a novel symbolic representation of time series
Jessica Lin, Eamonn Keogh, Wei Li et al. · Data Mining and Knowledge Discovery · 2007 · 1.6K citations
Computing, Data Science, Mathematics +12
Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network
Ya Su, Youjian Zhao, Chenhao Niu et al. · 2019 · 1.5K citations
1–5 of 2.9K
7.9K
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2.2K
University of California, Riverside
Riverside, United States
42 h-index
173 publications
22.3K citations

Monash University
Melbourne, Australia
26 h-index
64 publications
8.8K citations
Carnegie Mellon University
Pittsburgh, United States
24 h-index
74 publications
4.6K citations
Tsinghua University
Beijing, China
22 h-index
101 publications
12.6K citations

Chinese Academy of Sciences
Beijing, China
19 h-index
62 publications
3K citations
Stanford University
Stanford, United States
19 h-index
57 publications
6.6K citations
Beijing Jiaotong University
Beijing, China
18 h-index
83 publications
2.9K citations
IBM (United States)
Armonk, United States
18 h-index
40 publications
1.6K citations
1–8 of 2.2K
94 publications · 5.7K citations
41
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Repository · 104 publications · 5.6K citations
36
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39 publications · 2K citations
25
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33 publications · 2.4K citations
24
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37 publications · 2.4K citations
24
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