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KDD
2005
ACM
160views Data Mining» more  KDD 2005»
14 years 9 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»
14 years 9 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
2000
ACM
147views Data Mining» more  KDD 2000»
14 years 15 days ago
A self organizing map (SOM) extended model for information discovery in a digital library context
This paper presents the MicroNOMAD Discovering Tool. Its main characteristic is both to provide an user with emergent analyses of a multimedia database content and with querying a...
Jean-Charles Lamirel, Jacques Ducloy, Hager Kammou...
RSFDGRC
2005
Springer
112views Data Mining» more  RSFDGRC 2005»
14 years 2 months ago
Discovering Characteristic Individual Accessing Behaviors in Web Environment
Abstract. Discovering diverse individual accessing behaviors in web environment is required before mining the valuable patterns from behaviors of groups of visitors. In this paper,...
Long Wang 0002, Christoph Meinel, Chunnian Liu
PKDD
2007
Springer
95views Data Mining» more  PKDD 2007»
14 years 3 months ago
Pruning Relations for Substructure Discovery of Multi-relational Databases
Multirelational data mining methods discover patterns across multiple interlinked tables (relations) in a relational database. In many large organizations, such a multi-relational ...
Hongyu Guo, Herna L. Viktor, Eric Paquet