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Modeling skewed distributions using multifractals and the '80-20 law'

Summary: Models attribute-value skew with multifractal 80/20 (p/(1−p)); uses multiplicities and moments F_q to estimate stats or sub/supersets. Real-data experiments show multifractal schemes beat uniformity-based methods and yield supersets estimates unavailable to uniformity. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
8353
Venue
VLDB
Year
1996
Pagerank
5.2446136e-05
Overall Rank
5,982 | 58.39%
DOI
-

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Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
449 Approximate Query Processing: Taming the TeraBytes! A Tutorial 2001 VLDB 0.00022846068
1,488 On the Analysis of Indexing Schemes 1997 PODS 0.00011699446
4,177 Density Biased Sampling: An Improved Method for Data Mining and Clustering 2000 SIGMOD 6.3835403e-05
8,819 Modeling Skew in Data Streams 2006 SIGMOD 4.4421123e-05
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