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A Framework for Measuring Changes in Data Characteristics

Summary: Framework defines a model-based "deviation" measure between datasets—distance between induced models (e.g., frequent itemsets, decision trees, clusters)—thus unifying metrics like misclassification rate and chi-squared. Adds statistical tests to judge significance and outlines applications for change detection and model-driven data comparison. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1166
Venue
PODS
Year
1999
Pagerank
5.6720634e-05
Overall Rank
7,210 | 50.54%
DOI
10.1145/303976.303989

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{ganti_pods99,
        address = {New York, NY, USA},
        series = {{PODS} '99},
        title = {{A Framework for Measuring Changes in Data Characteristics}},
        url = {https://dl.acm.org/doi/10.1145/303976.303989},
        doi = {10.1145/303976.303989},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Ganti, Venkatesh and Gehrke, Johannes and Ramakrishnan, Raghu and Loh, Wei-Yin},
        year = {1999}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
6,750 A Framework for Diagnosing Changes in Evolving Data Streams 2003 SIGMOD 5.7842742e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 15 of 15 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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