Trend Features
Trend Features is a time series feature extraction method that quantifies the underlying long-term progression or directional movement in a time series by distinguishing itself from seasonal and cyclical components through the isolation of systematic, non-repeating patterns over time.
101
Publications
4.6K
Citations
348
Authors
169
Institutions
Publications per year
2017–2026
57
101
Analyzing feature trajectories for event detection
Qi He, Kuiyu Chang, Ee‐Peng Lim · 2007 · 209 citations · Full text
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National Taiwan University of Science and Technology, Taiwan
4 publications · 721 citations
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3
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169

University of Alberta
Edmonton, Canada
5 h-index
7 publications
399 citations
National Taiwan University of Science and Technology
Taipei, Taiwan
4 h-index
4 publications
752 citations

Southwest Jiaotong University
Chengdu, China
4 h-index
13 publications
2.4K citations
Shandong University of Science and Technology
Qingdao, China
3 h-index
10 publications
270 citations
Purdue University West Lafayette
West Lafayette, United States
3 h-index
5 publications
393 citations

Harbin Institute of Technology
Harbin, China
3 h-index
10 publications
515 citations
Minnan Normal University
Zhangzhou, China
3 h-index
3 publications
205 citations

Beijing Normal University
Beijing, China
3 h-index
10 publications
653 citations
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TFS · 4 publications · 266 citations
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3 publications · 498 citations
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3 publications · 138 citations
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Repository · 3 publications · 126 citations
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2 publications · 70 citations
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