R-Tree Based Indexing of Now-Relative Bitemporal Data

Summary: Proposes two extended R*-trees for now-relative bitemporal data, enabling bounding regions that grow with time (rectangular or triangular) to model evolving data. New heuristics reduce time-dependent dead space and overlap; results show 3–5× faster performance than existing R-tree indices. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 8502
Venue: VLDB
Year: 1998
Pagerank: 4.3887024e-05
Overall Rank: 9,114 | 36.66%
DOI: -

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
628	Indexing the Positions of Continuously Moving Objects	2000	SIGMOD	0.00018957327
3,802	Time-Parameterized Queries in Spatio-Temporal Databases	2002	SIGMOD	6.7524078e-05

Outgoing Citations (Sorted by Pagerank)

Showing 8 of 8 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
2	R-Trees: A Dynamic Index Structure For Spatial Searching	1984	SIGMOD	0.0032118946
6	The R*-tree: An Efficient and Robust Access Method for Points and Rectangles	1990	SIGMOD	0.0016113151
24	The R+-Tree: A Dynamic Index For Multi-Dimensional Objects	1987	VLDB	0.00083300888
242	Generalized Search Trees for Database Systems (Extended Abstract)	1995	VLDB	0.00031093647
290	Linear Clustering of Objects with Multiple Attributes	1990	SIGMOD	0.00028845557
294	A Taxonomy of Time in Databases	1985	SIGMOD	0.00028649864
356	Hilbert R-tree: An Improved R-tree Using Fractals	1994	VLDB	0.00026091196
1,943	Multidimensional Access Methods: Trees Have Grown Everywhere	1997	VLDB	0.00010009557

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