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)
Incoming Non-self Citations Over Time
Authors
- 1. Venkatesh Ganti (University of Wisconsin)
- 2. Johannes Gehrke (University of Wisconsin)
- 3. Raghu Ramakrishnan (University of Wisconsin)
- 4. Wei-Yin Loh (University of Wisconsin)
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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