Incremental Sequence Mining
Incremental Sequence Mining is a sequence mining approach that dynamically updates discovered sequential patterns in response to newly added data without reprocessing the entire dataset from scratch.
30
Publications
1.2K
Citations
83
Authors
39
Institutions
Publications per year
2017–2026
5
Parents
30
Hong Cheng, Xifeng Yan, Jiawei Han · 2004 · 214 citations
Incremental and interactive sequence mining
Srinivasan Parthasarathy, Mohammed J. Zaki, Mitsunori Ogihara et al. · 1999 · 213 citations · Full text
Online data mining for co-evolving time sequences
Byoung-Kee Yi, Nicholas D. Sidiropoulos, Tessa L. Johnson et al. · 2002 · 171 citations
Computing, Data Science, Data Mining +14
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National Yang Ming Chiao Tung University
Hsinchu, Taiwan
7 h-index
13 publications
261 citations

National University of Kaohsiung
Kaohsiung City, Taiwan
4 h-index
4 publications
84 citations

National Sun Yat-sen University
Kaohsiung City, Taiwan
3 h-index
3 publications
66 citations

University of Windsor
Windsor, Canada
2 h-index
4 publications
64 citations

Harbin Institute of Technology
Harbin, China
2 h-index
4 publications
70 citations

Shenzhen Institute of Information Technology
Shenzhen, China
2 h-index
4 publications
70 citations
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
10 publications
810 citations

Chaoyang University of Technology
Taichung, Taiwan
1 h-index
1 publications
10 citations
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2 publications · 40 citations
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IDA · 2 publications · 40 citations
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Repository · 1 publications · 18 citations
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1 publications · 39 citations
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1 publications · 31 citations
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