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» Introduction to Data Mining and Knowledge Discovery
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CG
2007
Springer
14 years 10 months ago
A 2D-3D visualization support for human-centered rule mining
On account of the enormous amounts of rules that can be produced by data mining algorithms, knowledge post-processing is a difficult stage in an association rule discovery process....
Julien Blanchard, Bruno Pinaud, Pascale Kuntz, Fab...
KDD
2005
ACM
160views Data Mining» more  KDD 2005»
15 years 10 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»
15 years 10 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
2005
ACM
106views Data Mining» more  KDD 2005»
15 years 10 months ago
Simultaneous optimization of complex mining tasks with a knowledgeable cache
With an increasing use of data mining tools and techniques, we envision that a Knowledge Discovery and Data Mining System (KDDMS) will have to support and optimize for the followi...
Ruoming Jin, Kaushik Sinha, Gagan Agrawal
KDD
1995
ACM
108views Data Mining» more  KDD 1995»
15 years 1 months ago
A Statistical Perspective On Knowledge Discovery In Databases
The quest to nd models usefully characterizing data is a process central to the scienti c method, and has been carried out on many fronts. Researchers from an expanding number of ...
John F. Elder IV, Daryl Pregibon