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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
4349
Venue
SIGMOD
Year
2010
Pagerank
4.5180464e-05
Overall Rank
8,419 | 41.44%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
1,718 Swarm: Mining Relaxed Temporal Moving Object Clusters 2010 VLDB 0.00010789285
2,192 DITA: Distributed In-Memory Trajectory Analytics 2018 SIGMOD 9.3185895e-05
11,655 Top-k Queries over Digital Traces 2019 SIGMOD 4.1945683e-05
11,992 MoveMine 2.0: Mining Object Relationships from Movement Data 2014 VLDB 4.1945683e-05
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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.

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