Association for Computing Machinery
ACM Special Interest Group on Knowledge Discovery & Data Mining

 

 

KDD-2000

Sixth ACM SIGKDD International Conference on
Knowledge Discovery & Data Mining

August 20-23, 2000
Boston, MA, USA

Interactive Knowledge Exploration

Papers 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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