Advances in Data Analysis and Classification 1/2009 | springerprofessional.de

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Advances in Data Analysis and Classification

Inhalt (5 Artikel)

Editorial

Editorial

Hans-Hermann Bock

Regular Article

Bayesian unsupervised classification framework based on stochastic partitions of data and a parallel search strategy

Jukka Corander, Mats Gyllenberg, Timo Koski

Regular Article

Where are the large and difficult datasets?

Adrien Jamain, David J. Hand

Regular Article

Optimum simultaneous discretization with data grid models in supervised classification: a Bayesian model selection approach

Marc Boullé

Regular Article

An update algorithm for restricted random walk clustering for dynamic data sets

Markus Franke, Andreas Geyer-Schulz

Ausgabe: 3/2008

Ausgabe: 2/2009

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