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)

Paper ID: h3fc0e27ed0961e88
Venue: SIGMOD
Year: 2002
Pagerank: -
Overall Rank: 14,274 | 4.03%
DOI: 10.1145/564691.564781

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

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)

Showing 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

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
1,874	Efficient Computation of Iceberg Cubes with Complex Measures	2001	SIGMOD	9.4579757e-05
6,076	Mining Multi-Dimensional Constrained Gradients in Data Cubes	2001	VLDB	5.8940835e-05

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