AutoDomainMine: A Graphical Data Mining System for Process Optimization

Summary: Graphical data mining system AutoDomainMine for process optimization, mining scientific experiment data stored in a database. Integrates clustering and classification to derive ranked, exact or approximate responses to user queries for optimizing scientific processes. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 4006
Venue: SIGMOD
Year: 2007
Pagerank: 5.093636e-05
Overall Rank: 12,647 | 13.23%
DOI: 10.1145/1247480.1247621

Incoming Non-self Citations Over Time

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

Authors

1. Aparna S. Varde (Virginia State University)
2. Elke A. Rundensteiner (Worcester Polytechnic Institute)
3. Richard D. Sisson Jr. (Worcester Polytechnic Institute)

BibTeX Citation

@inproceedings{varde_sigmod07,
        title = {{AutoDomainMine: A Graphical Data Mining System for Process Optimization}},
        author = {Varde, Aparna S. and Rundensteiner, Elke A. and Sisson, Jr., Richard D.},
        series = {{SIGMOD} '07},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1247480.1247621},
        url = {https://dl.acm.org/doi/10.1145/1247480.1247621},
        year = {2007}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
2,158	What is the nearest neighbor in high dimensional spaces?	2000	VLDB	9.0622995e-05

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