Closing the Loop: An Agenda- and Justification-Based Framework for Selecting the Next Discovery Task to Perform

I
ICDM
2001
First IEEE International Conference on Data Mining (ICDM'01)
Abstract - Closing the Loop: An Agenda- and Justification-Based Framework for Selecting the Next Discovery Task to Perform

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First IEEE International Conference on Data Mining (ICDM'01)

San Jose, California

November 29-December 02

ISBN: 0-7695-1119-8

	ASCII Text	x
	Gary R. Livingston, John M. Rosenberg, Bruce G. Buchanan, "Closing the Loop: An Agenda- and Justification-Based Framework for Selecting the Next Discovery Task to Perform," Data Mining, IEEE International Conference on, pp. 385, First IEEE International Conference on Data Mining (ICDM'01), 2001.

	BibTex	x
	@article{ 10.1109/ICDM.2001.989543, author = {Gary R. Livingston and John M. Rosenberg and Bruce G. Buchanan}, title = {Closing the Loop: An Agenda- and Justification-Based Framework for Selecting the Next Discovery Task to Perform}, journal ={Data Mining, IEEE International Conference on}, volume = {0}, year = {2001}, isbn = {0-7695-1119-8}, pages = {385}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDM.2001.989543}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Data Mining, IEEE International Conference on TI - Closing the Loop: An Agenda- and Justification-Based Framework for Selecting the Next Discovery Task to Perform SN - 0-7695-1119-8 SP EP A1 - Gary R. Livingston, A1 - John M. Rosenberg, A1 - Bruce G. Buchanan, PY - 2001 VL - 0 JA - Data Mining, IEEE International Conference on ER -

Gary R. Livingston

John M. Rosenberg

Bruce G. Buchanan

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDM.2001.989543

We propose and evaluate an agenda-and justification-based architecture for discovery systems that selects the next tasks to perform. This framework has many desirable properties: (1) it facilitates the encoding of general discovery strategies using a variety of background knowledge, (2) t reasons about the appropriateness of the tasks being considered, and (3) it tailors its behavior toward a user 's interests. A prototype discovery program called HAMB demonstrates that both reasons and estimates of interestingness contribute to performance in the domains of protein crystallization and patient rehabilitation.

Citation:

Gary R. Livingston, John M. Rosenberg, Bruce G. Buchanan, "Closing the Loop: An Agenda- and Justification-Based Framework for Selecting the Next Discovery Task to Perform," icdm, pp.385, First IEEE International Conference on Data Mining (ICDM'01), 2001

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