Classification and Data Mining

  • Antonio Giusti
  • Gunter Ritter
  • Maurizio Vichi
Conference proceedings

DOI: 10.1007/978-3-642-28894-4

Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)

Table of contents (33 papers)

  1. Front Matter
    Pages i-xiv
  2. Classification and Data Analysis

    1. Front Matter
      Pages 1-1
    2. Inference on the CUB Model: An MCMC Approach
      Laura Deldossi, Roberta Paroli
      Pages 19-26
    3. Issues on Clustering and Data Gridding
      Jukka Heikkonen, Domenico Perrotta, Marco Riani, Francesca Torti
      Pages 37-44
    4. Dynamic Data Analysis of Evolving Association Patterns
      Alfonso Iodice D’Enza, Francesco Palumbo
      Pages 45-53
    5. Classification of Data Chunks Using Proximal Vector Machines and Singular Value Decomposition
      Antonio Irpino, Mario Rosario Guarracino, Rosanna Verde
      Pages 55-62
    6. Correspondence Analysis in the Case of Outliers
      Anna Langovaya, Sonja Kuhnt, Hamdi Chouikha
      Pages 63-70
    7. Calibration with Spatial Data Constraints
      Ivan Arcangelo Sciascia
      Pages 89-94
  3. Data Mining

    1. Front Matter
      Pages 95-95
    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. Graphical Models for Eliciting Structural Information
      Federico M. Stefanini
      Pages 139-146

About these proceedings


​​​​​​​​​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".​


Classification Data Analysis Data Mining

Editors and affiliations

  • Antonio Giusti
    • 1
  • Gunter Ritter
    • 2
  • Maurizio Vichi
    • 3
  1. 1.Department of StatisticsUniversità degli Studi di FirenzeFirenzeItaly
  2. 2.Fakultät für Informatik, und MathematikUniversität PassauPassauGermany
  3. 3.Sapienza", Department of StatisticsUniversity of Rome "LaRomeItaly

Bibliographic information

  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-642-28893-7
  • Online ISBN 978-3-642-28894-4
  • Series Print ISSN 1431-8814