GeoMiner: A System Prototype for Spatial Data Mining

Summary: GeoMiner: a spatial data mining prototype extending DBMiner for characteristic, comparison, and association rules. SAND-based architecture with spatial data cube, spatial OLAP, GMQL (Spatial SQL extension), and a UI for visualizing spatial knowledge. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: h0a8ffd2cc54b19d4
Venue: SIGMOD
Year: 1997
Pagerank: 4.9793485e-05
Overall Rank: 13,253 | 10.90%
DOI: 10.1145/253260.253404

Incoming Non-self Citations Over Time

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

Authors

1. Jiawei Han (Simon Fraser University)
2. Krzysztof Koperski (Simon Fraser University)
3. Nebojsa Stefanovic (Simon Fraser University)

BibTeX Citation

@inproceedings{han_sigmod97,
        title = {{GeoMiner: A System Prototype for Spatial Data Mining}},
        author = {Han, Jiawei and Koperski, Krzysztof and Stefanovic, Nebojsa},
        series = {{SIGMOD} '97},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/253260.253404},
        url = {https://dl.acm.org/doi/10.1145/253260.253404},
        year = {1997}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
29	Fast Algorithms for Mining Association Rules	1994	VLDB	0.0005121339
32	BIRCH: An Efficient Data Clustering Method for Very Large Databases	1996	SIGMOD	0.00049737458
94	Efficient and Effective Clustering Methods for Spatial Data Mining	1994	VLDB	0.00034579889
467	Discovery of Multiple-Level Association Rules from Large Databases	1995	VLDB	0.00017766906

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