MoveMine 2.0: Mining Object Relationships from Movement Data
Summary: MoveMine 2.0 extends the movement-mining system with dynamic pairwise relationship discovery, targeting attraction/avoidance and following patterns. An interactive interface enables parameter tuning and exploration across diverse real-world trajectory datasets. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Fei Wu (Pennsylvania State University)
- 2. Tobias Kin Hou Lei (University of Illinois Urbana-Champaign)
- 3. Zhenhui Li (Pennsylvania State University)
- 4. Jiawei Han (University of Illinois Urbana-Champaign)
BibTeX Citation
@article{wu_vldb14,
title = {{MoveMine 2.0: Mining Object Relationships from Movement Data}},
author = {Wu, Fei and Lei, Tobias Kin Hou and Li, Zhenhui and Han, Jiawei},
journal = {PVLDB},
series = {{VLDB} '14},
volume = {7},
number = {13},
pages = {1613--1616},
doi = {10.14778/2733004.2733015},
url = {https://doi.org/10.14778/2733004.2733015},
year = {2014}
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 221 | Robust and Fast Similarity Search for Moving Object Trajectories | 2005 | SIGMOD | 0.00024224879 |
| 303 | On The Marriage of Lp-norms and Edit Distance | 2004 | VLDB | 0.00021956234 |
| 8,693 | MoveMine: Mining Moving Object Databases | 2010 | SIGMOD | 5.3837142e-05 |
| 12,188 | Attraction and Avoidance Detection from Movements | 2014 | VLDB | 5.093636e-05 |
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