Attraction and Avoidance Detection from Movements

Summary: Unified framework to mine attraction/avoidance between moving objects via significance of spatiotemporal interactions estimated with permutation tests. Efficient pruning cuts cost; supports threshold-queries to retrieve objects with significance above a bound; validated on synthetic and real data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 10822
Venue: VLDB
Year: 2014
Pagerank: 4.1945683e-05
Overall Rank: 11,990 | 16.59%
DOI: -

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Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
11,992	MoveMine 2.0: Mining Object Relationships from Movement Data	2014	VLDB	4.1945683e-05

Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
251	Robust and Fast Similarity Search for Moving Object Trajectories	2005	SIGMOD	0.00030644658
321	MCDB: A Monte Carlo Approach to Managing Uncertain Data	2008	SIGMOD	0.00027527389
358	On The Marriage of Lp-norms and Edit Distance	2004	VLDB	0.0002599481
1,707	Ranking Queries on Uncertain Data: A Probabilistic Threshold Approach	2008	SIGMOD	0.00010816111
1,718	Swarm: Mining Relaxed Temporal Moving Object Clusters	2010	VLDB	0.00010789285
1,745	Discovery of Convoys in Trajectory Databases	2008	VLDB	0.00010702338

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