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Advances in Data Analysis and Classification

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03-08-2023 | Editorial

Editorial for ADAC issue 3 of volume 17 (2023)

Authors: Maurizio Vichi, Andrea Cerioli, Hans A. Kestler, Akinori Okada, Claus Weihs

Published in: Advances in Data Analysis and Classification | Issue 3/2023

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This issue 3 of volume 17 (2023) of the journal Advances in Data Analysis and Classification (ADAC) contains 9 articles that deal with classification of customer behavior, robust regression for interval-valued data, clustering with missing data, symbolic data analysis, appropriate clustering methods for mixed-type data, sentiment-based information retrieval, mixture of regression models, sufficient dimensional reduction, clustering for a mixture of matrix-normal distributions. …

next article Sequential classification of customer behavior based on sequence-to-sequence learning with gated-attention neural networks

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Title: Editorial for ADAC issue 3 of volume 17 (2023)
Authors: Maurizio Vichi
Andrea Cerioli
Hans A. Kestler
Akinori Okada
Claus Weihs
Publication date: 03-08-2023
Publisher: Springer Berlin Heidelberg
Published in: Advances in Data Analysis and Classification / Issue 3/2023
Print ISSN: 1862-5347
Electronic ISSN: 1862-5355
DOI: https://doi.org/10.1007/s11634-023-00554-6

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Other articles of this Issue 3/2023

Sequential classification of customer behavior based on sequence-to-sequence learning with gated-attention neural networks

Semiparametric finite mixture of regression models with Bayesian P-splines

Clustering with missing data: which equivalent for Rubin’s rules?

New models for symbolic data analysis

A structured covariance ensemble for sufficient dimension reduction

Benchmarking distance-based partitioning methods for mixed-type data

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