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Coalescing in Temporal Databases

Summary: Coalescing is a temporal unary operator; the paper shows how to prune semantically unnecessary coalescing. It surveys DBMS algorithms (nested-loop, sorting, partitioning) and SQL approaches, with a study showing feasibility but nontrivial cost. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
8342
Venue
VLDB
Year
1996
Pagerank
8.0275095e-05
Overall Rank
2,842 | 80.24%
DOI
-

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

Rank Cited Paper Year Venue Pagerank
9 Implementation Techniques For Main Memory Database Systems 1984 SIGMOD 0.0014279444
139 Predicate Migration: Optimizing Queries with Expensive Predicates 1993 SIGMOD 0.00042299329
152 An Evaluation of Non-Equijoin Algorithms 1991 VLDB 0.00040963225
2,086 Practical Predicate Placement 1994 SIGMOD 9.5779956e-05
5,132 Temporal Query Processing and Optimization in Multiprocessor Database Machines 1992 VLDB 5.6740462e-05
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12,966 Temporal Relationships in Databases 1988 VLDB 4.1945683e-05
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703 Query Execution Techniques for Caching Expensive Methods 1996 SIGMOD 0.00017916705
6,454 On Spatially Partitioned Temporal Join 1994 VLDB 5.0569697e-05
12,901 A Uniform Approach to Processing Temporal Queries 1992 VLDB 4.1945683e-05
5,132 Temporal Query Processing and Optimization in Multiprocessor Database Machines 1992 VLDB 5.6740462e-05
8,159 Computing Complex Temporal Join Queries Efficiently 2022 SIGMOD 4.5729025e-05
3,998 Event-Join Optimization in Temporal Relational Databases 1989 VLDB 6.5472662e-05
4,458 Temporal Coalescing with Now, Granularity, and Incomplete Information 2003 SIGMOD 6.1663503e-05