CubeExplorer: Online Exploration of Data Cubes
Summary: Integrated online exploration of data cubes via CubeExplorer. It introduces iceberg cube computation, cube-based feature extraction, and gradient analysis to enable scalable, interactive cube mining on large repositories. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Authors
- 1. Jiawei Han (University of Illinois Urbana-Champaign)
- 2. Jianyong Wang (Peking University)
- 3. Guozhu Dong (Wright State University)
- 4. Jian Pei (Simon Fraser University)
- 5. Ke Wang (Simon Fraser University)
BibTeX Citation
@inproceedings{han_sigmod02,
title = {{CubeExplorer: Online Exploration of Data Cubes}},
author = {Han, Jiawei and Wang, Jianyong and Dong, Guozhu and Pei, Jian and Wang, Ke},
series = {{SIGMOD} '02},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/564691.564781},
url = {https://dl.acm.org/doi/10.1145/564691.564781},
year = {2002}
}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 |
|---|---|---|---|---|
| 1,825 | Efficient Computation of Iceberg Cubes with Complex Measures | 2001 | SIGMOD | 9.6726613e-05 |
| 5,955 | Mining Multi-Dimensional Constrained Gradients in Data Cubes | 2001 | VLDB | 6.0290092e-05 |
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