Location Sequence Mining
Location Sequence Mining is a data mining technique that identifies frequent and meaningful sequences of geographic locations visited by individuals or groups over time, distinguishing it from other mobility analysis methods by focusing on the temporal order and recurrence of spatial transitions.
33
Publications
4.4K
Citations
101
Authors
52
Institutions
Publications per year
2017–2026
12
Parents
33
Mining interesting locations and travel sequences from GPS trajectories
Yu Zheng, Lizhu Zhang, Xing Xie et al. · 2009 · 1.9K citations
An energy-efficient mobile recommender system
Yong Ge, Hui Xiong, Alexander Tuzhilin et al. · 2010 · 325 citations
1–5 of 33
101
4
h-index
3
h-index
3
h-index
3
h-index
3
h-index
1–5 of 101
52

University of Notre Dame
Notre Dame, United States
3 h-index
6 publications
244 citations
Microsoft Research Asia (China)
Beijing, China
3 h-index
7 publications
7.8K citations

National Taiwan University
Taipei, Taiwan
3 h-index
9 publications
426 citations
Nanjing University of Posts and Telecommunications
Nanjing, China
2 h-index
3 publications
50 citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
2 h-index
2 publications
1.1K citations
Wuhan University
Wuhan, China
2 h-index
10 publications
202 citations

Shandong University of Technology
Zibo, China
1 h-index
2 publications
44 citations
Microsoft (United States)
Redmond, United States
1 h-index
1 publications
35 citations
1–8 of 52
3 publications · 40 citations
3
h-index
TIST · 2 publications · 114 citations
2
h-index
1 publications · 47 citations
1
h-index
1 publications · 16 citations
1
h-index
1 publications · 22 citations
1
h-index
1–5