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The Performance and Utility of the Cactis Implementation Algorithms

Summary: Cactis employs an attributed-graph data model with incremental updates and self-adaptive scheduling to maintain derived data. Results across diverse schemas show 50–90% I/O reduction, underscoring the efficiency and guiding future research. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
7938
Venue
VLDB
Year
1990
Pagerank
0.00013494453
Overall Rank
1,173 | 91.85%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 6 of 6 citing papers.

Rank Citing Paper Year Venue Pagerank
1,658 A Stochastic Approach for Clustering in Object Bases 1991 SIGMOD 0.00010980786
1,893 On the Performance of Object Clustering Techniques 1992 SIGMOD 0.00010184132
2,218 Efficient Assembly of Complex Objects 1991 SIGMOD 9.2669145e-05
6,965 Self-Adaptive, On-Line Reclustering of Complex Object Data 1994 SIGMOD 4.8812211e-05
12,609 Speculative Query Processing 2003 CIDR 4.1945683e-05
12,892 The Term Retrieval Abstract Machine 1992 SIGMOD 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

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

Rank Cited Paper Year Venue Pagerank
12 The Functional Data Model and the Data Language DAPLEX 1979 SIGMOD 0.0011248121
5,612 Object-Oriented Database Support for Software Environments 1987 SIGMOD 5.4106199e-05
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