DBScholar

Back to papers

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
2162
Venue
SIGMOD
Year
1979
Pagerank
0.00012758481
Overall Rank
996 | 93.17%
DOI
10.1145/582095.582110

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{hammer_sigmod79,
        title = {{A Heuristic Approach to Attribute Partitioning}},
        author = {Hammer, Michael and Niamir, Bahram},
        series = {{SIGMOD} '79},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/582095.582110},
        url = {https://dl.acm.org/doi/10.1145/582095.582110},
        year = {1979}
}

Incoming Citations (Sorted by Pagerank)

Showing 12 of 12 citing papers.

Previous Page 1 / 1 Next

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
854 Index Selection in a Self-Adaptive Data Base Management System 1976 SIGMOD 0.00013581028
Previous Page 1 / 1 Next

Semantically Similar Papers