This fourth issue of volume 8 (2014) of the journal Advances in Data Analysis and Classification (ADAC) includes four articles which are mainly devoted to the analysis of real-case data: a new methodology for clustering financial time series; a feature selection algorithm for classification in the problem of fault diagnosis; a comparison of five recursive partitioning methods to find person subgroups involved in meaningful treatment-subgroup interactions, and a latent class approach for analyzing the attitudes of Polish people on the adoption of the Euro.

Editorial 4/2014 / Bock, Hh; Gaul, W; Okada, A; Vichi, M; Weihs, C. - In: ADVANCES IN DATA ANALYSIS AND CLASSIFICATION. - ISSN 1862-5347. - 8:4(2014), pp. 357-358. [10.1007/s11634-014-0190-6]

Editorial 4/2014

Vichi, M
;
2014

Abstract

This fourth issue of volume 8 (2014) of the journal Advances in Data Analysis and Classification (ADAC) includes four articles which are mainly devoted to the analysis of real-case data: a new methodology for clustering financial time series; a feature selection algorithm for classification in the problem of fault diagnosis; a comparison of five recursive partitioning methods to find person subgroups involved in meaningful treatment-subgroup interactions, and a latent class approach for analyzing the attitudes of Polish people on the adoption of the Euro.
2014
Classification, Clustering, Data Analysis
01 Pubblicazione su rivista::01m Editorial/Introduzione in rivista
Editorial 4/2014 / Bock, Hh; Gaul, W; Okada, A; Vichi, M; Weihs, C. - In: ADVANCES IN DATA ANALYSIS AND CLASSIFICATION. - ISSN 1862-5347. - 8:4(2014), pp. 357-358. [10.1007/s11634-014-0190-6]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1670633
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