Temporal Sequence Mining
Temporal Sequence Mining is a sequence mining methodology that specifically addresses the discovery of patterns in data sequences where the chronological order and timing of events are integral to identifying meaningful relationships.
182
Publications
8K
Citations
481
Authors
236
Institutions
Publications per year
2017–2026
35
Parents
182
Online novelty detection on temporal sequences
Junshui Ma, Simon Perkins · 2003 · 226 citations
Incremental and interactive sequence mining
Srinivasan Parthasarathy, Mohammed J. Zaki, Mitsunori Ogihara et al. · 1999 · 213 citations · Full text
Learning to predict rare events in event sequences
Gary M. Weiss, Haym Hirsh · 1998 · 213 citations
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236
National Institute of Technology Warangal
Warangal, India
7 h-index
7 publications
187 citations
National Central University
Taoyuan City, Taiwan
7 h-index
12 publications
635 citations
The University of Texas at Arlington
Arlington, United States
5 h-index
10 publications
170 citations
Osmania University
Hyderabad, India
5 h-index
5 publications
149 citations
IBM (United States)
Armonk, United States
5 h-index
10 publications
499 citations
Vaagdevi College of Engineering
Bollikunta, India
5 h-index
5 publications
136 citations

University of Pisa
Pisa, Italy
4 h-index
7 publications
274 citations
National Chung Cheng University
Minxiong, Taiwan
4 h-index
5 publications
147 citations
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TKDE · 9 publications · 670 citations
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4 publications · 249 citations
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IDA · 3 publications · 38 citations
3
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3 publications · 44 citations
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DKE · 3 publications · 104 citations
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