Classification and Data Mining [Giusti, Ritter & Vichi 2012-12-17](2).pdf

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Studies in Classification, Data Analysis,
and Knowledge Organization
Managing Editors
H.-H. Bock, Aachen
W. Gaul, Karlsruhe
M. Vichi, Rome
C. Weihs, Dortmund
Editorial Board
D. Baier, Cottbus
F. Critchley, Milton Keynes
R. Decker, Bielefeld
E. Diday, Paris
M. Greenacre, Barcelona
C.N. Lauro, Naples
J. Meulman, Leiden
P. Monari, Bologna
S. Nishisato, Toronto
N. Ohsumi, Tokyo
O. Opitz, Augsburg
G. Ritter, Passau
M. Schader, Mannheim
For further volumes:
http://www.springer.com/series/1564
•
Antonio Giusti
Maurizio Vichi
Editors
Gunter Ritter
Classification and Data
Mining
123
Editors
Prof. Antonio Giusti
Department of Statistics
University of Florence
Florence, Italy
Prof. Maurizio Vichi
Department of Statistics,
Probability and Applied Statistics
University of Rome “La Sapienza”
Rome, Italy
Prof. Dr. Gunter Ritter
Faculty for Informatics and Mathematics
University of Passau
Passau, Germany
ISSN 1431-8814
ISBN 978-3-642-28893-7
ISBN 978-3-642-28894-4 (eBook)
DOI 10.1007/978-3-642-28894-4
Springer Heidelberg New York Dordrecht London
Library of Congress Control Number: 2012952267
© Springer-Verlag Berlin Heidelberg 2013
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Preface
Following a biannual tradition of organizing joint meetings between classification
societies, the Classification and Data Analysis Group of the Italian Statistical
Society, CLADAG, has organized its international meeting together with the
German Classification Society, GfKl, at Firenze, Italy, September 8–10, 2010. The
Conference was originally conceived as a German-Italian event, but it counted
the participation of researchers from several nations and especially from Austria,
France, Germany, Great Britain, Italy, Korea, the Netherlands, Portugal, Slovenia,
and Spain. The meeting has shown once more the vitality of data analysis and clas-
sification and served as a forum for presentation, discussion, and exchange of ideas
between the most active scientists in the field. It has also shown the strong bonds be-
tween the two classification societies and has greatly helped to deepen relationships.
The conference program included 4 Plenary, 12 Invited, and 31 Contributed
Sessions. This book contains selected and peer-reviewed papers presented at the
meeting in the area of “Classification and Data Mining.” Browsing through the vol-
ume, the reader will see both methodological articles showing new original methods
and articles on applications illustrating how new domain-specific knowledge can be
made available from data by clever use of data analysis methods. According to the
title, the book is divided into three parts:
1. Classification and Data Analysis
2. Data Mining
3. Applications
The methodologically oriented papers on classification and data analysis deal,
among other things, with robustness, analysis of spatial data, and application of
Monte Carlo Markov Chain methods. Variable selection and clustering of variables
play an increasing role in applications where there are substantially more variables
than observations. Support vector machines offer models and methods for the
analysis of complex data structures that go beyond classical ones. Special discussed
topics are association patterns and correspondence analysis.
Automated methods in data mining, producing knowledge discovery in huge data
structures such as those associated with new media (e.g., Internet), digital images,
v

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