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KDD
2005
ACM
168views Data Mining» more  KDD 2005»
16 years 4 months ago
Nomograms for visualizing support vector machines
We propose a simple yet potentially very effective way of visualizing trained support vector machines. Nomograms are an established model visualization technique that can graphica...
Aleks Jakulin, Martin Mozina, Janez Demsar, Ivan B...
KDD
2005
ACM
158views Data Mining» more  KDD 2005»
16 years 4 months ago
Adversarial learning
Many classification tasks, such as spam filtering, intrusion detection, and terrorism detection, are complicated by an adversary who wishes to avoid detection. Previous work on ad...
Daniel Lowd, Christopher Meek
KDD
2005
ACM
160views Data Mining» more  KDD 2005»
16 years 4 months ago
Optimizing time series discretization for knowledge discovery
Knowledge Discovery in time series usually requires symbolic time series. Many discretization methods that convert numeric time series to symbolic time series ignore the temporal ...
Alfred Ultsch, Fabian Mörchen
KDD
2005
ACM
73views Data Mining» more  KDD 2005»
16 years 4 months ago
Using relational knowledge discovery to prevent securities fraud
We describe an application of relational knowledge discovery to a key regulatory mission of the National Association of Securities Dealers (NASD). NASD is the world's largest...
Özgür Simsek, David Jensen, Henry G. Gol...
KDD
2004
ACM
136views Data Mining» more  KDD 2004»
16 years 4 months ago
Exploring the community structure of newsgroups
d Abstract] Christian Borgs Jennifer Chayes Mohammad Mahdian Amin Saberi We propose to use the community structure of Usenet for organizing and retrieving the information stored i...
Christian Borgs, Jennifer T. Chayes, Mohammad Mahd...
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