MoveMine: Mining Moving Object Databases

Summary: MoveMine enables scalable moving-object data mining (pattern, trajectory) for massive GPS, vehicle, animal, and sensor data. Interface, tunable methods, and real-data evals enable interactive exploration and guide moving-object data management research. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 4411
Venue: SIGMOD
Year: 2010
Pagerank: 5.3837142e-05
Overall Rank: 8,693 | 40.36%
DOI: 10.1145/1807167.1807319

Incoming Non-self Citations Over Time

Authors

1. Zhenhui Li (University of Illinois Urbana-Champaign)
2. Ming Ji (University of Illinois Urbana-Champaign)
3. Jae-Gil Lee (IBM)
4. Lu-An Tang (University of Illinois Urbana-Champaign)
5. Yintao Yu (University of Illinois Urbana-Champaign)
6. Jiawei Han (University of Illinois Urbana-Champaign)
7. Roland Kays (New York State Museum)

BibTeX Citation

@inproceedings{li_sigmod10,
        title = {{MoveMine: Mining Moving Object Databases}},
        author = {Li, Zhenhui and Ji, Ming and Lee, Jae-Gil and Tang, Lu-An and Yu, Yintao and Han, Jiawei and Kays, Roland},
        series = {{SIGMOD} '10},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1807167.1807319},
        url = {https://dl.acm.org/doi/10.1145/1807167.1807319},
        year = {2010}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
1,755	Swarm: Mining Relaxed Temporal Moving Object Clusters	2010	VLDB	9.8211863e-05
2,416	DITA: Distributed In-Memory Trajectory Analytics	2018	SIGMOD	8.6068712e-05
11,850	Top-k Queries over Digital Traces	2019	SIGMOD	5.093636e-05
12,190	MoveMine 2.0: Mining Object Relationships from Movement Data	2014	VLDB	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
918	Trajectory Clustering: A Partition-and-Group Framework	2007	SIGMOD	0.00013215285
1,755	Swarm: Mining Relaxed Temporal Moving Object Clusters	2010	VLDB	9.8211863e-05
2,656	TraClass: Trajectory Classification Using Hierarchical Region-Based and Trajectory-Based Clustering	2008	VLDB	8.2888028e-05

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	14,222	DBMiner: Interactive Mining of Multiple-Level Knowledge in Relational Databases	1996	SIGMOD
2	12,963	GeoMiner: A System Prototype for Spatial Data Mining	1997	SIGMOD
3	1,755	Swarm: Mining Relaxed Temporal Moving Object Clusters	2010	VLDB
4	3,394	Prediction and Indexing of Moving Objects with Unknown Motion Patterns	2004	SIGMOD
5	9,894	Co-movement Pattern Mining from Videos	2024	VLDB
6	12,018	Efficient Mining of Regional Movement Patterns in Semantic Trajectories	2017	VLDB
7	13,739	MobileMiner: A Real World Case Study of Data Mining in Mobile Communication	2009	SIGMOD
8	3,645	A General and Parallel Platform for Mining Co-Movement Patterns over Large-scale Trajectories	2017	VLDB
9	9,023	CoMing: A Real-time Co-Movement Mining System for Streaming Trajectories	2020	SIGMOD
10	12,190	MoveMine 2.0: Mining Object Relationships from Movement Data	2014	VLDB