Advances in Data Analysis and Classification

2008 - 2012

Edited by H.-H. Bock, W. Gaul, A. Okada and M. Vichi

from Springer
Series data maintained by Guenther Eichhorn ().

Access Statistics for this journal.
Track citations for all items by RSS feed
Is something missing from the series or not right? See the RePEc data check for the archive and series.

Volume 3, issue 3, 2009

Editorial pp. 185-187

Hans-Hermann Bock

Parsimonious cluster systems pp. 189-204

François Brucker and Alain Gély

Aggregation invariance in general clustering approaches pp. 205-225

François Bavaud

Comparison of three hypothesis testing approaches for the selection of the appropriate number of clusters of variables pp. 227-241

Véronique Cariou, Stéphane Verdun, Emmanuelle Diaz, El Qannari and Evelyne Vigneau

Temporally adaptive estimation of logistic classifiers on data streams pp. 243-261

Christoforos Anagnostopoulos, Dimitris Tasoulis, Niall Adams and David Hand

New robust dynamic plots for regression mixture detection pp. 263-279

Domenico Perrotta, Marco Riani and Francesca Torti

The value of the last digit: statistical fraud detection with digit analysis pp. 281-290

Stephan Dlugosz and Ulrich Müller-Funk

On critical sets of a finite Moore family pp. 291-304

Jean Diatta

Metrics of L p -type and distributional equivalence principle pp. 305-314

Bernard Fichet

Tests of ignoring and eliminating in nonsymmetric correspondence analysis pp. 315-340

Yoshio Takane and Sunho Jung

Volume 3, issue 2, 2009

Editorial pp. 93-94

Hans-Hermann Bock, Wolfgang Gaul, Akinori Okada and Maurizio Vichi

Comparison of alignment free string distances for complete genome phylogeny pp. 95-108

Frédéric Guyon, Céline Brochier-Armanet and Alain Guénoche

Variable selection in model-based clustering using multilocus genotype data pp. 109-134

Wilson Toussile and Elisabeth Gassiat

Trimming algorithms for clustering contaminated grouped data and their robustness pp. 135-167

María Gallegos and Gunter Ritter

On Robinsonian dissimilarities, the consecutive ones property and latent variable models pp. 169-184

Matthijs Warrens

Volume 3, issue 1, 2009

Editorial pp. 1-2

Hans-Hermann Bock

Bayesian unsupervised classification framework based on stochastic partitions of data and a parallel search strategy pp. 3-24

Jukka Corander, Mats Gyllenberg and Timo Koski

Where are the large and difficult datasets? pp. 25-38

Adrien Jamain and David Hand

Optimum simultaneous discretization with data grid models in supervised classification: a Bayesian model selection approach pp. 39-61

Marc Boullé

An update algorithm for restricted random walk clustering for dynamic data sets pp. 63-92

Markus Franke and Andreas Geyer-Schulz

Volume 2, issue 3, 2008

Preface of the ADAC editors pp. 207-208

Hans-Hermann Bock, Wolfgang Gaul, Maurizio Vichi and Akinori Okada

Preface for the special issue of ADAC on ‘Optimisation and Non-Convex Programming in Data Mining’ pp. 209-210

Hoai An Le Thi, Tao Pham Dinh and Gunter Ritter

Multi-objective optimization for clustering 3-way gene expression data pp. 211-225

Doulaye Dembélé

A constrained-optimization based half-quadratic algorithm for robustly fitting sets of linearly parametrized curves pp. 227-239

Jean-Philippe Tarel, Sio-Song Ieng and Pierre Charbonnier

About the non-convex optimization problem induced by non-positive semidefinite kernel learning pp. 241-258

Ingo Mierswa and Katharina Morik

A DC programming approach for feature selection in support vector machines learning pp. 259-278

Hoai An Le Thi, Hoai Le, Nguyen Van and Tao Pham Dinh

Transfer distance between partitions pp. 279-294

Lucile Denœud

Generalized marginal homogeneity model and its relation to marginal equimoments for square contingency tables with ordered categories pp. 295-311

Kouji Tahata and Sadao Tomizawa