Sequential Data Preprocessing
Sequential Data Preprocessing is a methodological procedure that transforms raw sequential data into a structured, analyzable form by applying operations such as noise filtering, gap filling, alignment, and representation conversion to facilitate subsequent sequence mining tasks.
115
Publications
6.5K
Citations
421
Authors
205
Institutions
Publications per year
2017–2026
55
Parents
115
Patient Subtyping via Time-Aware LSTM Networks
İnci M. Baytaş, Cao Xiao, Xi Zhang et al. · 2017 · 634 citations
1–5 of 115
421
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Technologies & méthodes pour les agricultures de demain, France
3 publications · 172 citations
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3
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3
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2
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1–5 of 421
205
Technologies & méthodes pour les agricultures de demain
Montpellier, France
3 h-index
3 publications
172 citations

Institut Agro Montpellier
Montpellier, France
3 h-index
3 publications
172 citations

Sapienza University of Rome
Rome, Italy
3 h-index
3 publications
172 citations
Wageningen University & Research
Wageningen, The Netherlands
3 h-index
5 publications
144 citations

University of L'Aquila
L’Aquila, Italy
3 h-index
3 publications
172 citations
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
7 publications
1.2K citations
Universitat de Barcelona
Barcelona, Spain
2 h-index
2 publications
115 citations
Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement
Paris, France
2 h-index
3 publications
117 citations
1–8 of 205
5 publications · 508 citations
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3 publications · 201 citations
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3 publications · 157 citations
3
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DKE · 2 publications · 132 citations
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2 publications · 475 citations
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