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Advances in Data Analysis and Classification

2008 - 2021

Current editor(s): H.-H. Bock, W. Gaul, A. Okada, M. Vichi and C. Weihs

German Classification Society - Gesellschaft für Klassifikation (GfKl)
Japanese Classification Society (JCS)
Classification and Data Analysis Group of the Italian Statistical Society (CLADAG)
International Federation of Classification Societies (IFCS)
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Volume 15, issue 1, 2021

Editorial for ADAC issue 1 of volume 15 (2021) pp. 1-4 Downloads
Maurizio Vichi, Andrea Cerioli, Hans Kestler, Akinori Okada and Claus Weihs
Interval forecasts based on regression trees for streaming data pp. 5-36 Downloads
Xin Zhao, Stuart Barber, Charles C. Taylor and Zoka Milan
From-below Boolean matrix factorization algorithm based on MDL pp. 37-56 Downloads
Tatiana Makhalova and Martin Trnecka
A robust spatial autoregressive scalar-on-function regression with t-distribution pp. 57-81 Downloads
Tingting Huang, Gilbert Saporta, Huiwen Wang and Shanshan Wang
A combination of k-means and DBSCAN algorithm for solving the multiple generalized circle detection problem pp. 83-98 Downloads
Rudolf Scitovski and Kristian Sabo
Efficient regularized spectral data embedding pp. 99-119 Downloads
Lazhar Labiod and Mohamed Nadif
A cost-sensitive constrained Lasso pp. 121-158 Downloads
Rafael Blanquero, Emilio Carrizosa, Pepa Ramírez-Cobo and M. Remedios Sillero-Denamiel
A novel semi-supervised support vector machine with asymmetric squared loss pp. 159-191 Downloads
Huimin Pei, Qiang Lin, Liran Yang and Ping Zhong
Kappa coefficients for dichotomous-nominal classifications pp. 193-208 Downloads
Matthijs J. Warrens
Clustering discrete-valued time series pp. 209-229 Downloads
Tyler Roick, Dimitris Karlis and Paul D. McNicholas
Simultaneous dimension reduction and clustering via the NMF-EM algorithm pp. 231-260 Downloads
Léna Carel and Pierre Alquier

Volume 14, issue 4, 2020

Data generation for composite-based structural equation modeling methods pp. 747-757 Downloads
Rainer Schlittgen, Marko Sarstedt and Christian M. Ringle
Mixtures of Dirichlet-Multinomial distributions for supervised and unsupervised classification of short text data pp. 759-770 Downloads
Laura Anderlucci and Cinzia Viroli
On the use of quantile regression to deal with heterogeneity: the case of multi-block data pp. 771-784 Downloads
Cristina Davino, Rosaria Romano and Domenico Vistocco
Editable machine learning models? A rule-based framework for user studies of explainability pp. 785-799 Downloads
Stanislav Vojíř and Tomáš Kliegr
A comparison of instance-level counterfactual explanation algorithms for behavioral and textual data: SEDC, LIME-C and SHAP-C pp. 801-819 Downloads
Yanou Ramon, David Martens, Foster Provost and Theodoros Evgeniou
A process framework for inducing and explaining Datalog theories pp. 821-835 Downloads
Mark Gromowski, Michael Siebers and Ute Schmid
The ultrametric correlation matrix for modelling hierarchical latent concepts pp. 837-853 Downloads
Carlo Cavicchia, Maurizio Vichi and Giorgia Zaccaria
SEM-Tree hybrid models in the preferences analysis of the members of Polish households pp. 855-869 Downloads
Adam Sagan and Mariusz Łapczyński
Chained correlations for feature selection pp. 871-884 Downloads
Ludwig Lausser, Robin Szekely and Hans A. Kestler
Adapted single-cell consensus clustering (adaSC3) pp. 885-896 Downloads
Cornelia Fuetterer, Thomas Augustin and Christiane Fuchs
Automatic gait classification patterns in spastic hemiplegia pp. 897-925 Downloads
Ana Aguilera and Alberto Subero
Predicting brand confusion in imagery markets based on deep learning of visual advertisement content pp. 927-945 Downloads
Atsuho Nakayama and Daniel Baier
The GNG neural network in analyzing consumer behaviour patterns: empirical research on a purchasing behaviour processes realized by the elderly consumers pp. 947-982 Downloads
Kamila Migdał-Najman, Krzysztof Najman and Sylwia Badowska

Volume 14, issue 3, 2020

Editorial for ADAC issue 3 of volume 14 (2020) pp. 513-515 Downloads
Maurizio Vichi, Andrea Cerioli, Hans Kestler, Akinori Okada and Claus Weihs
Modelling heterogeneity: on the problem of group comparisons with logistic regression and the potential of the heterogeneous choice model pp. 517-542 Downloads
Gerhard Tutz
Is-ClusterMPP: clustering algorithm through point processes and influence space towards high-dimensional data pp. 543-570 Downloads
Khadidja Henni, Pierre-Yves Louis, Brigitte Vannier and Ahmed Moussa
Sparse classification with paired covariates pp. 571-588 Downloads
Armin Rauschenberger, Iuliana Ciocănea-Teodorescu, Marianne A. Jonker, Renée X. Menezes and Mark A. Wiel
Connecting the multivariate partial least squares with canonical analysis: a path-following approach pp. 589-609 Downloads
Lukáš Malec and Vladimír Janovský
A stable cardinality distance for topological classification pp. 611-628 Downloads
Vasileios Maroulas, Cassie Putman Micucci and Adam Spannaus
Familywise decompositions of Pearson’s chi-square statistic in the analysis of contingency tables pp. 629-649 Downloads
Rosaria Lombardo, Yoshio Takane and Eric J. Beh
Rank tests for functional data based on the epigraph, the hypograph and associated graphical representations pp. 651-676 Downloads
Alba M. Franco Pereira and Rosa E. Lillo
Enhancing techniques for learning decision trees from imbalanced data pp. 677-745 Downloads
Ikram Chaabane, Radhouane Guermazi and Mohamed Hammami

Volume 14, issue 2, 2020

Special issue on “Innovations on model based clustering and classification” pp. 231-234 Downloads
Christophe Biernacki, Luis Angel García-Escudero and Salvatore Ingrassia
Seemingly unrelated clusterwise linear regression pp. 235-260 Downloads
Giuliano Galimberti and Gabriele Soffritti
Semiparametric mixtures of regressions with single-index for model based clustering pp. 261-292 Downloads
Sijia Xiang and Weixin Yao
Gaussian parsimonious clustering models with covariates and a noise component pp. 293-325 Downloads
Keefe Murphy and Thomas Brendan Murphy
A robust approach to model-based classification based on trimming and constraints pp. 327-354 Downloads
Andrea Cappozzo, Francesca Greselin and Thomas Brendan Murphy
Mixture modeling of data with multiple partial right-censoring levels pp. 355-378 Downloads
Semhar Michael, Tatjana Miljkovic and Volodymyr Melnykov
Gaussian mixture modeling and model-based clustering under measurement inconsistency pp. 379-413 Downloads
Shuchismita Sarkar, Volodymyr Melnykov and Rong Zheng
Mixtures of skewed matrix variate bilinear factor analyzers pp. 415-434 Downloads
Michael P. B. Gallaugher and Paul D. McNicholas
Data projections by skewness maximization under scale mixtures of skew-normal vectors pp. 435-461 Downloads
Jorge M. Arevalillo and Hilario Navarro
ParticleMDI: particle Monte Carlo methods for the cluster analysis of multiple datasets with applications to cancer subtype identification pp. 463-484 Downloads
Nathan Cunningham, Jim E. Griffin and David L. Wild
A stochastic block model for interaction lengths pp. 485-512 Downloads
Riccardo Rastelli and Michael Fop

Volume 14, issue 1, 2020

Count regression trees pp. 5-27 Downloads
Nan-Ting Liu, Feng-Chang Lin and Yu-Shan Shih
Learning a metric when clustering data points in the presence of constraints pp. 29-56 Downloads
Ahmad Ali Abin, Mohammad Ali Bashiri and Hamid Beigy
Clustering genomic words in human DNA using peaks and trends of distributions pp. 57-76 Downloads
Ana Helena Tavares, Jakob Raymaekers, Peter Rousseeuw, Paula Brito and Vera Afreixo
Data clustering based on principal curves pp. 77-96 Downloads
Elson Claudio Correa Moraes, Danton Diego Ferreira, Giovani Bernardes Vitor and Bruno Henrique Groenner Barbosa
Ensemble of optimal trees, random forest and random projection ensemble classification pp. 97-116 Downloads
Zardad Khan, Asma Gul, Aris Perperoglou, Miftahuddin Miftahuddin, Osama Mahmoud, Werner Adler and Berthold Lausen
A fragmented-periodogram approach for clustering big data time series pp. 117-146 Downloads
Jorge Caiado, Nuno Crato and Pilar Poncela
How well do SEM algorithms imitate EM algorithms? A non-asymptotic analysis for mixture models pp. 147-173 Downloads
Johannes Blömer, Sascha Brauer, Kathrin Bujna and Daniel Kuntze
Optimal arrangements of hyperplanes for SVM-based multiclass classification pp. 175-199 Downloads
Víctor Blanco, Alberto Japón and Justo Puerto
Classification using sequential order statistics pp. 201-230 Downloads
Alexander Katzur and Udo Kamps
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