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KDD-2000 Sixth ACM SIGKDD International Conference on Interactive Knowledge ExplorationPapers included in this Research Track segment:
Towards an Effective Cooperation of the Computer and the User for Classification (#248). M. Ankerst, M. Ester, and H.-P. Kreigel (University of Munich).
A Framework for Specifying Explicit Bias for Revision of Approximate Information Extraction Rules (#185). R. Feldman, J. Scler, Y. Liberzon (Instinct Software).
Explicitly Representing Expected Cost: An Alternative to ROC Representation (#331). C. Drummond and R. Holte (University of Ottawa).
Multi-Level Organization and Summarization of the Discovered Rules (#247). B. Liu, M. Hu, and W. Hsu (National University of Singapore). |
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