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A Heuristic Approach to Attribute Partitioning
Summary: Attribute partitioning splits a logical file into subrecords of attribute subsets to cut I/O; gains when transactions use fields together, with potential costs otherwise. A precise partition evaluator assigns a cost metric, and a heuristic search surfaces a small set of promising partitions for detailed analysis; implemented in a model DB and shown to be accurate and efficient.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 2101
- Venue
- SIGMOD
- Year
- 1979
- Pagerank
- 0.00019891907
- Overall Rank
- 571 | 96.04%
- DOI
-
-
Incoming Non-self Citations Over Time
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Showing 12 of 12 citing papers.
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Year |
Venue |
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| 594 |
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1982 |
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1982 |
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| 4,415 |
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1982 |
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| 5,305 |
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1988 |
VLDB |
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| 9,063 |
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1985 |
SIGMOD |
4.3997447e-05 |
| 10,934 |
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2024 |
SIGMOD |
4.1905499e-05 |
| 13,068 |
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1983 |
VLDB |
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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.
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