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Classification and Data Mining

  • Conference proceedings
  • © 2013

Overview

Editors:
  1. Antonio Giusti

    1. Department of Statistics, Università degli Studi di Firenze, Firenze, Italy

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  2. Gunter Ritter

    1. Fakultät für Informatik, und Mathematik, Universität Passau, Passau, Germany

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  3. Maurizio Vichi

    1. Sapienza", Department of Statistics, University of Rome "La, Rome, Italy

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Table of contents (33 papers)

  1. Front Matter

    Pages i-xiv
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  2. Classification and Data Analysis

    1. Front Matter

      Pages 1-1
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    2. Robust Random Effects Models: A Diagnostic Approach Based on the Forward Search

      • Bruno Bertaccini, Roberta Varriale
      Pages 3-10

    3. Joint Correspondence Analysis Versus Multiple Correspondence Analysis: A Solution to an Undetected Problem

      • Sergio Camiz, Gastão Coelho Gomes
      Pages 11-18

    4. Inference on the CUB Model: An MCMC Approach

      • Laura Deldossi, Roberta Paroli
      Pages 19-26

    5. Robustness Versus Consistency in Ill-Posed Classification and Regression Problems

      • Robert Hable, Andreas Christmann
      Pages 27-35

    6. Issues on Clustering and Data Gridding

      • Jukka Heikkonen, Domenico Perrotta, Marco Riani, Francesca Torti
      Pages 37-44

    7. Dynamic Data Analysis of Evolving Association Patterns

      • Alfonso Iodice D’Enza, Francesco Palumbo
      Pages 45-53

    8. Classification of Data Chunks Using Proximal Vector Machines and Singular Value Decomposition

      • Antonio Irpino, Mario Rosario Guarracino, Rosanna Verde
      Pages 55-62

    9. Correspondence Analysis in the Case of Outliers

      • Anna Langovaya, Sonja Kuhnt, Hamdi Chouikha
      Pages 63-70

    10. Variable Selection in Cluster Analysis: An Approach Based on a New Index

      • Isabella Morlini, Sergio Zani
      Pages 71-79

    11. A Model for the Clustering of Variables Taking into Account External Data

      • Karin Sahmer
      Pages 81-88

    12. Calibration with Spatial Data Constraints

      • Ivan Arcangelo Sciascia
      Pages 89-94

  3. Data Mining

    1. Front Matter

      Pages 95-95
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    2. Clustering Data Streams by On-Line Proximity Updating

      • Antonio Balzanella, Yves Lechevallier, Rosanna Verde
      Pages 97-104

    3. Summarizing and Detecting Structural Drifts from Multiple Data Streams

      • Antonio Balzanella, Rosanna Verde
      Pages 105-112

    4. A Model-Based Approach for Qualitative Assessment in Opinion Mining

      • Maria Iannario, Domenico Piccolo
      Pages 113-120

    5. An Evaluation Measure for Learning from Imbalanced Data Based on Asymmetric Beta Distribution

      • Nguyen Thai-Nghe, Zeno Gantner, Lars Schmidt-Thieme
      Pages 121-129

    6. Outlier Detection for Geostatistical Functional Data: An Application to Sensor Data

      • Elvira Romano, Jorge Mateu
      Pages 131-138

    7. Graphical Models for Eliciting Structural Information

      • Federico M. Stefanini
      Pages 139-146
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Keywords

About this book

​​​​​​​​​This volume contains both methodological papers showing new original methods, and papers on applications illustrating how new domain-specific knowledge can be made available from data by clever use of data analysis methods. The volume is subdivided in three parts: Classification and Data Analysis; Data Mining; and Applications. The selection of peer reviewed papers had been presented at a meeting of classification societies held in Florence, Italy, in the area of "Classification and Data Mining".​

Editors and Affiliations

  • Department of Statistics, Università degli Studi di Firenze, Firenze, Italy

    Antonio Giusti

  • Fakultät für Informatik, und Mathematik, Universität Passau, Passau, Germany

    Gunter Ritter

  • Sapienza", Department of Statistics, University of Rome "La, Rome, Italy

    Maurizio Vichi

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