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A Model of Data Distribution Based on Texture Analysis

Summary: Proposes a nonparametric distribution model using texture analysis to partition the multidimensional space into homogeneous regions for estimating query cardinalities. Introduces a novel bit-pattern homogeneity measure to drive segmentation; results show its value inversely correlates with estimation error. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
2346
Venue
SIGMOD
Year
1985
Pagerank
0.00010215186
Overall Rank
1,614 | 88.93%
DOI
10.1145/318898.318929

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{kamel_sigmod85,
        title = {{A Model of Data Distribution Based on Texture Analysis}},
        author = {Kamel, Nabil and King, Roger},
        series = {{SIGMOD} '85},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/318898.318929},
        url = {https://dl.acm.org/doi/10.1145/318898.318929},
        year = {1985}
}

Incoming Citations (Sorted by Pagerank)

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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
2 R-Trees: A Dynamic Index Structure For Spatial Searching 1984 SIGMOD 0.0020210012
417 Estimating Block Transfers and Join Sizes 1983 SIGMOD 0.00018819871
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