Emerging Pattern Mining
Emerging Pattern Mining is a type of frequent pattern mining that identifies itemsets whose support significantly increases from one transaction dataset to another, typically across different time periods or classes, thereby capturing evolving patterns indicative of emerging trends or shifts in data behavior.
47
Publications
2.8K
Citations
109
Authors
59
Institutions
Publications per year
2017–2026
10
Parents
47
Efficient mining of emerging patterns
Guozhu Dong, Jinyan Li · 1999 · 1K citations
Identifying emerging hotel preferences using Emerging Pattern Mining technique
Gang Li, Rob Law, Huy Quan Vu et al. · Tourism Management · 2014 · 163 citations · Full text
1–5 of 47
109
7
h-index
5
h-index
3
h-index
3
h-index
3
h-index
1–5 of 109
59

The University of Melbourne
Melbourne, Australia
8 h-index
16 publications
1.7K citations
Wright State University
Dayton, United States
4 h-index
4 publications
1.2K citations

University of Vermont
Burlington, United States
3 h-index
3 publications
69 citations

Hefei University of Technology
Hefei, China
3 h-index
6 publications
122 citations
University of Massachusetts Boston
Boston, United States
3 h-index
6 publications
140 citations

Universidad de Jaén
Jaén, Spain
3 h-index
10 publications
220 citations

Peking University
Beijing, China
2 h-index
6 publications
78 citations
University of Sheffield
Sheffield, United Kingdom
2 h-index
4 publications
120 citations
1–8 of 59
JCIM · 2 publications · 60 citations
2
h-index
TKDE · 2 publications · 115 citations
2
h-index
2 publications · 40 citations
2
h-index
1 publications · 25 citations
1
h-index
1 publications · 17 citations
1
h-index
1–5