Información General

• Autores: Francesco Palumbo (ed. lit.), Angela Montanari (ed. lit.), Maurizio Vichi (ed. lit.)
• Editores: Springer International Publishing AG
• Año de publicación: 2017
• País: Italia
• Idioma: inglés
• ISBN: 978-3-319-55723-6
• Recoge los contenidos presentados a: Conference of the International Federation of Classification Societies (15. 2015).
• Enlaces
  • Texto Completo Libro

Resumen

• This edited volume on the latest advances in data science covers a wide range of topics in the context of data analysis and classification. In particular, it includes contributions on classification methods for high-dimensional data, clustering methods, multivariate statistical methods, and various applications. The book gathers a selection of peer-reviewed contributions presented at the Fifteenth Conference of the International Federation of Classification Societies (IFCS2015), which was hosted by the Alma Mater Studiorum, University of Bologna, from July 5 to 8, 2015.

Otros catálogos

• Red de Bibliotecas Universitarias (REBIUN)

Listado de artículos

• • Classification Methods for High Dimensional Data

    • Missing Data Imputation and Its Effect on the Accuracy of Classification

      Lynette A. Hunt

      • Texto Completo Libro

      págs. 3-14

      

    • On Coupling Robust Estimation with Regularization for High-Dimensional Data

      Jan Kalina, Jaroslav Hlinka

      • Texto Completo Libro

      págs. 15-27

      

    • Classification Methods in the Research on the Financial Standing of Construction Enterprises After Bankruptcy in Poland

      Barbara Pawełek, Krzysztof Gałuszka, Jadwiga Kostrzewska, Maciej Kostrzewski

      • Texto Completo Libro

      págs. 29-42

      

    • On the Identification of Correlated Differential Features for Supervised Classification of High-Dimensional Data

      Shu Kay Ng, Geoffrey J. McLachlan

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      págs. 43-57

      

  • Clustering Methods and Applications

    • T-Sharper Images and T-Level Cuts of Fuzzy Partitions

      Slavka Bodjanova

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      págs. 61-72

      

    • Benchmarking for Clustering Methods Based on Real Data: A Statistical View

      Anne-Laure Boulesteix, Myriam Hatz

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      págs. 73-82

      

    • Representable Hierarchical Clustering Methods for Asymmetric Networks

      Gunnar Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra

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      págs. 83-95

      

    • A Median-Based Consensus Rule for Distance Exponent Selection in the Framework of Intelligent and Weighted Minkowski Clustering

      Renato Cordeiro de Amorim, Nadia Tahiri, Boris Mirkin, Vladimir Makarenkov

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      págs. 97-110

      

    • Finding Prototypes Through a Two-Step Fuzzy Approach

      Mario Fordellone, Francesco Palumbo

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      págs. 111-121

      

    • Clustering Air Monitoring Stations According to Background and Ambient Pollution Using Hidden Markov Models and Multidimensional Scaling

      Álvaro Gómez Losada

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      págs. 123-132

      

    • Marked Point Processes for Microarray Data Clustering

      Khadidja Henni, Olivier Alata, Abdellatif El Idrissi, Brigitte Vannier, Lynda Zaoui, Ahmed Moussa

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      págs. 133-147

      

    • Social Differentiation of Cultural Taste and Practice in Contemporary Japan: Nonhierarchical Asymmetric Cluster Analysis

      Miki Nakai

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      págs. 149-159

      

    • The Classification and Visualization of Twitter Trending Topics Considering Time Series Variation

      Atsuho Nakayama

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      págs. 161-173

      

    • Handling Missing Data in Observational Clinical Studies Concerning Cardiovascular Risk: An Insight into Critical Aspects

      Nadia Solaro, Daniela Lucini, Massimo Pagani

      • Texto Completo Libro

      págs. 175-188

      

  • Multivariate Methods and Applications

    • Prediction Error in Distance-Based Generalized Linear Models

      Eva Boj del Val, Teresa Costa, Josep Fortiana Gregori

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      págs. 191-204

      

    • An Inflated Model to Account for Large Heterogeneity in Ordinal Data

      Stefania Capecchi, Rosaria Simone, Domenico Piccolo

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      págs. 205-217

      

    • Functional Data Analysis for Optimizing Strategies of Cash-Flow Management

      Francesca Di Salvo, Marcello Chiodi, Pietro Patricola

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      págs. 219-230

      

    • The Five Factor Model of Personality and Evaluation of Drug Consumption Risk

      Elaine Fehrman, Awaz K. Muhammad, Evgeny M. Mirkes, Vincent Egan, Alexander N. Gorban

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      págs. 231-242

      

    • Correlation Analysis for Multivariate Functional Data

      Tomasz Górecki, Mirosław Krzyśko, Waldemar Wołyński

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      págs. 243-258

      

    • Multi-Dimensional Scaling of Sparse Block Diagonal Similarity Matrix

      Tadashi Imaizumi

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      págs. 259-272

      

    • The Application of Classical and Positional TOPSIS Methods to Assessment Financial Self-sufficiency Levels in Local Government Units

      Agnieszka Kozera, Aleksandra Łuczak, Feliks Wysocki

      • Texto Completo Libro

      págs. 273-284

      

    • A Method for Transforming Ordinal Variables

      Odysseas Moschidis, Theodore Chadjipadelis

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      págs. 285-294

      

    • Big Data Scaling Through Metric Mapping: Exploiting the Remarkable Simplicity of Very High Dimensional Spaces Using Correspondence Analysis

      Fionn Murtagh

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      págs. 295-306

      

    • Comparing Partial Least Squares and Partial Possibilistic Regression Path Modeling to Likert-Type Scales: A Simulation Study

      Rosaria Romano, Francesco Palumbo

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      págs. 307-320

      

    • Cause-Related Marketing: A Qualitative and Quantitative Analysis on Pinkwashing

      Gabriella Schoier, Patrizia de Luca

      • Texto Completo Libro

      págs. 321-332

      

    • Predicting the Evolution of a Constrained Network: A Beta Regression Model

      Luisa Stracqualursi, Patrizia Agati

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      págs. 333-342