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SVP - a Model Capturing Sets, Streams, and Parallelism

Summary: SVP models sets and streams with ordered tree collections, enabling divide-and-conquer mappings and parallelism. SVP-transducers unify aggregates, set mappings, stream transductions, and scans under order-continuity, enabling pipeline parallelism. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
8062
Venue
VLDB
Year
1992
Pagerank
7.6671277e-05
Overall Rank
3,252 | 77.40%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 7 of 7 citing papers.

Rank Citing Paper Year Venue Pagerank
1,010 Chain: Operator Scheduling for Memory Minimization in Data Stream Systems 2003 SIGMOD 0.00012763395
1,890 A Call to Order 1993 PODS 9.6294708e-05
4,399 A Query Language for List-Based Complex Objects 1994 PODS 6.785593e-05
5,765 A Query Language for NC 1994 PODS 6.1598109e-05
6,697 Sequences, Datalog and Transducers 1995 PODS 5.8575553e-05
9,519 Implementation and Analysis of a Parallel Collection Query Language 1996 VLDB 5.3222273e-05
12,837 Tutorial: Languages for Collection Types 1994 PODS 5.1725247e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

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

Rank Cited Paper Year Venue Pagerank
3,023 A New Paradigm For Parallel And Distributed Rule-Processing 1990 SIGMOD 7.9036791e-05
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