AutoDomainMine: a graphical data mining system for process optimization

Authors:
Aparna S. Varde;Elke A. Rundensteiner;Richard D. Sisson
Affiliations:
Virginia State University, Petersburg, VA;Worcester Polytechnic Institute, Worcester, MA;Worcester Polytechnic Institute, Worcester, MA
Venue:
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Year:
2007

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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.