AutoDomainMine: A graphical data mining system for process optimization

Aparna S. Varde, Elke A. Rundensteiner, Richard D. Sisson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

This paper describes a graphical data mining system called AutoDomainMine. It is based on our proposed approach of integrating clustering and classification to mine scientific data stored in a database. The data consists of input conditions of scientific experiments and graphs plotted as their results. This system mines the stored data in order to submit exact or approximate ranked responses to user queries intended to optimize the scientific processes.

Original languageEnglish
Title of host publicationSIGMOD 2007
Subtitle of host publicationProceedings of the ACM SIGMOD International Conference on Management of Data
Pages1103-1105
Number of pages3
DOIs
StatePublished - 30 Oct 2007
EventSIGMOD 2007: ACM SIGMOD International Conference on Management of Data - Beijing, China
Duration: 12 Jun 200714 Jun 2007

Publication series

NameProceedings of the ACM SIGMOD International Conference on Management of Data
ISSN (Print)0730-8078

Other

OtherSIGMOD 2007: ACM SIGMOD International Conference on Management of Data
CountryChina
CityBeijing
Period12/06/0714/06/07

Keywords

  • Approximate query processing
  • Ranking
  • Search heuristics

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  • Cite this

    Varde, A. S., Rundensteiner, E. A., & Sisson, R. D. (2007). AutoDomainMine: A graphical data mining system for process optimization. In SIGMOD 2007: Proceedings of the ACM SIGMOD International Conference on Management of Data (pp. 1103-1105). (Proceedings of the ACM SIGMOD International Conference on Management of Data). https://doi.org/10.1145/1247480.1247621