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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
2100
Venue
SIGMOD
Year
1979
Pagerank
0.00019547845
Overall Rank
592 | 95.89%
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
874 Index Selection in a Self-Adaptive Data Base Management System 1976 SIGMOD 0.00015728533
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