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Modeling Skew in Data Streams

Summary: Parametric streaming-skew modeling with hierarchical binomial multifractal and Pareto power laws, via a compact sketch for fast online fits. Online QQ-plot-based goodness-of-fit; demonstrated on high-speed IP traffic (AT&T Gigascope) with intrusion detection. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3812
Venue
SIGMOD
Year
2006
Pagerank
5.3433303e-05
Overall Rank
8,964 | 38.50%
DOI
10.1145/1142473.1142495

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{korn_sigmod06,
        title = {{Modeling Skew in Data Streams}},
        author = {Korn, Flip and Muthukrishnan, S. and Wu, Yihua},
        series = {{SIGMOD} '06},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1142473.1142495},
        url = {https://dl.acm.org/doi/10.1145/1142473.1142495},
        year = {2006}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
8,073 Multiple Dynamic Outlier-Detection from a Data Stream by Exploiting Duality of Data and Queries 2021 SIGMOD 5.4932762e-05
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