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EDBT
2000
ACM
14 years 3 months ago
Quality Assessment and Uncertainty Handling in Data Mining Process
The KDD process aims at the discovery and extraction of “useful” knowledge (such as interesting patterns, classification, rules etc) from large data repositories. A widely rec...
Maria Halkidi
SIGKDD
2000
103views more  SIGKDD 2000»
13 years 10 months ago
Interface '99: A Data Mining Overview
This personal overview of Interface '99 is intended to communicate its meaning and relevance to SIGKDD, as well as provide valuable information on trends within the Interface...
Arnold Goodman
KDD
2000
ACM
117views Data Mining» more  KDD 2000»
14 years 2 months ago
When image indexing meets knowledge discovery
In our paper, we deal with the challenge of extending automatically the classic image indexing by visual relationship features. The visual relationship features are discovered aut...
Chabane Djeraba
KDD
2000
ACM
142views Data Mining» more  KDD 2000»
14 years 2 months ago
Automating exploratory data analysis for efficient data mining
Having access to large data sets for the purpose of predictive data mining does not guarantee good models, even when the size of the training data is virtually unlimited. Instead,...
Jonathan D. Becher, Pavel Berkhin, Edmund Freeman
ROCAI
2004
Springer
14 years 4 months ago
What ROC Curves Can't Do (and Cost Curves Can)
Abstract. This paper shows that ROC curves, as a method of visualizing classifier performance, are inadequate for the needs of Artificial Intelligence researchers in several sign...
Chris Drummond, Robert C. Holte