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161
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PAKDD
1999
ACM
129views Data Mining» more  PAKDD 1999»
15 years 11 months ago
Visually Aided Exploration of Interesting Association Rules
Association rules are a class of important regularities in databases. They are found to be very useful in practical applications. However, the number of association rules discovere...
Bing Liu, Wynne Hsu, Ke Wang, Shu Chen
179
Voted
PKDD
1999
Springer
109views Data Mining» more  PKDD 1999»
15 years 11 months ago
Predicting Chemical Carcinogenesis Using Structural Information Only
This paper reports on the application of the Strongly Typed Evolutionary Programming System STEPS to the PTE2 challenge, which consists of predicting the carcinogenic activity of...
Claire J. Kennedy, Christophe G. Giraud-Carrier, D...
191
Voted
KDD
1998
ACM
120views Data Mining» more  KDD 1998»
15 years 11 months ago
Ranking - Methods for Flexible Evaluation and Efficient Comparison of Classification Performance
We present the notion of Ranking for evaluation of two-class classifiers. Ranking is based on using the ordering information contained in the output of a scoring model, rather tha...
Saharon Rosset
KDD
1997
ACM
161views Data Mining» more  KDD 1997»
15 years 11 months ago
Automated Discovery of Active Motifs in Three Dimensional Molecules
In this paper 1 we present a method for discovering approximately common motifs (also known as active motifs) in three dimensional (3D) molecules. Each node in a molecule is repre...
Xiong Wang, Jason Tsong-Li Wang, Dennis Shasha, Br...
193
Voted
KDD
1994
ACM
96views Data Mining» more  KDD 1994»
15 years 11 months ago
DICE: A Discovery Environment Integrating Inductive Bias
: Most of Knowledge Discovery in Database (KDD) systems are integrating efficient Machine Learning techniques. In fact issues in Machine Learning and KDD are very close allowing fo...
Jean-Daniel Zucker, Vincent Corruble, J. Thomas, G...
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