Studies in Classification, Data Analysis,and Knowledge Organization

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J. Meulman, LeidenP. Monari, BolognaS. Nishisato, TorontoN. Ohsumi, TokyoO. Opitz, Augsburg

M. Schader, Mannheim

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123

Editors

Proceedings of the 11th IFCS BiennialConference and 33rd Annual Conference

e.V., Dresden, March 13–18, 2009

Hermann Locarek-Junge · Claus Weihs

of the Gesellschaft für Klassifikation

as a Tool for ResearchClassification

imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use.

Printed on acid-free paper

or parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965, reproduction on microfilm or in any other way, and storage in data banks. Duplication of this publication

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This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting,

Springer is part of Springer Science + Business Media (www.springer.com)

ISSN 1431-8814

Editors

Springer Heidelberg Dordrecht London New York

© Springer-Verlag Berlin Heidelberg 2010

Professor Dr. Hermann Locarek-JungeChair Finance and Financial ServicesDresden University of TechnologyHelmholtzstr. 1001062 DresdenGermany

Professor Dr. Claus WeihsChair Computational StatisticsDortmund University of TechnologyVogelpothsweg 8744221 DortmundGermanyweihs@statistik.uni-dortmund.de

ISBN 978-3-642-10744-3 e-ISBN 978-3-642-10745-0DOI: 10.1007/978-3-642-10745-0

Library of Congress Control Number: 2010923661

Hermann.Locarek-Junge@tu-dresden.de

Cover design: WMX Design, Heidelberg

in its current version, and permissions for use must always be obtained from Springer . Violations areliable for prosecution under the German Copyright Law.

Preface

This volume contains revised selected papers from plenary and invited as well ascontributed sessions at the 11th Biennial Conference of the International Federationof Classification Societies (IFCS) in combination with the 33rd Annual Conferenceof the German Classification Society – Gesellschaft für Klassifikation (GfKl), orga-nized by the Faculty of Business Management and Economics at the TechnischeUniversität Dresden in March 2009. The theme of the conference was “Classifi-cation as a Tool for Research.” The conference encompassed 290 presentations in100 sessions, including 11 plenary talks and 2 workshops. Moreover, five tutorialstook place before the conference. With 357 attendees from 58 countries, the confer-ence provided a very attractive interdisciplinary international forum for discussionand mutual exchange of knowledge.

The chapters in this volume were selected in a second reviewing process after theconference. From the remaining 120 submitted papers, 90 papers were accepted forthis volume. In addition to the fundamental methodological areas of Classificationand Data Analysis, the volume contains many chapters from a wide range of top-ics representing typical applications of classification and data analysis methods inArchaeology and Spatial Science, Bio-Sciences, Electronic Data and Web, Financeand Banking, Linguistics, Marketing, Music Science, and Quality Assurance andEngineering.

The editors would like to thank the session organizers for supporting the spreadof information about the conference, and for inviting speakers, all reviewers fortheir timely reports, and Irene Barrios-Kezic and Martina Bihn of Springer-Verlag,Heidelberg, for their support and dedication to the production of this volume.

Moreover, IFCS and GfKl want to thank the Local Organizing Committee,Werner Esswein, Andreas Hilbert, and Hermann Locarek-Junge for this very well-organized conference. We also thank all our supporters – special thanks to ThorstenKlug, Sven Loßagk, Karoline Schönbrunn, Jens Weller, and the student staff at theconference!

Dresden and Dortmund Hermann Locarek-JungeNovember 2009 Claus Weihs

v

vi Preface

Scientific Program Committee

Chair

Claus Weihs, University of Dortmund, Germany

Members

� David Banks, Duke University, USA� Vladimir Batagelj, University of Ljubljana, Slovenia� Patrice Bertrand, Université Paris-Dauphine, France� Hans-Hermann Bock, RWTH Aachen University, Germany� Paula Brito, University of Porto, Portugal� Joachim Buhmann, ETH Zürich, Switzerland� Andrea Cerioli, University of Parma, Italy� Eva Ceulemans, Katholieke Universiteit Leuven, Belgium� Reinhold Decker, Universität Bielefeld, Germany� Werner Esswein, TU Dresden, Germany� Bernard Fichet, LIF Marseille, France� Eugeniusz Gatnar, AE Katowice, Poland� David Hand, Imperial College London, UK� Christian Hennig, UCL, UK� Andreas Hilbert, TU Dresden, Germany� Tadashi Imaizumi, Tama University Tokyo, Japan� Krzysztof Jajuga, Wroclaw University of Economics, Poland� Taerim Lee, Korea National Open University, Korea� Hermann Locarek-Junge, TU Dresden, Germany� Buck McMorris, Illinois Institute of Technology, USA� Fionn Murtagh, University of London, UK� Akinori Okada, Tama University Tokyo, Japan� Marieke Timmerman, Rijks Universiteit Groningen, Netherlands� Maurizio Vichi, Universitá di Roma La Sapienza, Italy

Reviewers (in alphabetical order)

Daniel Baier, Martin Behnisch, Axel Benner, Lynne Billard, Anne-Laure Boulesteix,Alexander Brenning, Hans Burkhardt, Wolfgang Gaul, Patrick J.F. Groenen,GeorgesHebrail, Irmela Herzog, Tadashi Imaizumi, Krzysztof Jajuga, Sabine Krolak-Schwerdt, Berthold Lausen, Taerim Lee, Uwe Ligges, Hermann Locarek-Junge,Jorn Mehnen, Andreas Nuernberger, Jozef Pociecha, Axel G. Posluschny, GunterRitter, Alex Rogers, Jürgen Rolshoven, Lars Schmidt-Thieme, Wilfried Seidel,Susanne Strahringer, Heike Trautmann, Alfred Ultsch, Rosanna Verde, Claus Weihs

Preface vii

1 Program Sessions and Chairs

1.1 Plenary Sessions

Taylan Cemgil: Hierarchical Bayesian Models for Audio and MusicProcessing (Chair: Prof. Claus Weihs)

Sanjoy Dasgupta: Performance Guarantees for Hierarchical Clustering(Chair: Prof. Joachim M Buhmann)

Josef Kittler: Data Quality Dependent Decision Making in PatternClassification (Chair: Prof. Fionn Murtagh)

Lars Schmidt-Thieme: Object Identification(Chair: Prof. Andreas Geyer-Schulz)

Alfred Ultsch: Benchmarking Methods for the Identification ofDifferentially Expressed Genes (Chair: Dr. Berthold Lausen)

Vincenzo Vinzi: PLS Path Modelling and PLS Regression(Chair: Prof. Yoshio Takane)

1.2 President’s Invited Session (Chair: Prof. F.R. McMorris)

Alain Guenoche: String Distances for Complete Genome PhylogenyBoris Mirkin: Clustering Proteins and Tree-Mapping Evolutionary EventsWilliam Shannon, Elena Deych, Robert Culverhouse: Microarray

Dimension Reduction Based on Maximizing Mantel CorrelationCoefficients Using a Genetic Algorithm Search Strategy

1.3 Workshops

Sensor Networks (Chairs: Dr. Dimitris Tasoulis, Dr. Niall Adams)(Organizers: Dr. Dimitris K. Tasoulis, Dr. Niall M. Adams,Dr. Alex Rogers)

Bibliothekarischer Workshop (Chairs: Dr. Hans-Joachim Hermes, Dr. BerndLorenz) (Organizers: Dr. Hans-Joachim Hermes, Dr. Bernd Lorenz)

1.4 Invited Sessions

Business Informatics(Chairs: Prof. Werner Esswein, Prof. Susanne Strahringer)

Classification Approaches for Symbolic Data(Chair: Prof. Rosanna Verde)

Clustering and Classification (Chair: Prof. Bernard J.E. Fichet)Clustering in Networks (Chair: Prof. Vladimir Batagelj)

viii Preface

Clustering in Reduced Space(Chairs: Prof. Eva Ceulemans, Dr. Marieke E. Timmerman)

Correspondence Analysis and Related Methods(Chair: Prof. Patrick J.F. Groenen)

Data Stream Mining (Chair: Prof. Georges Hebrail)Graph-Theoretical Methods for Clustering (Chair: Prof. Hans-Hermann Bock)Information Extraction and Retrieval (Chair: Prof. Lars Schmidt-Thieme)Modelling Genome Wide Data in Clinical Research I

(Chair: Dr. Berthold Lausen)Modelling Genome Wide Data in Clinical Research II

(Chair: Prof. Katja Ickstadt)Model-Based Clustering Methods I (Chair: Dr. Christian Hennig)Multicriteria Optimization I (Chair: Dr. Heike Trautmann)Non-Standard Data (Chair: Lynne Billard)Spatial Classification I (Chair: Prof. Alexander Brenning)Two-Way Clustering and Applications (Chair: Prof. Hans-Hermann Bock)

1.5 Contributed Sessions

Clustering and Classification

Applied Clustering Methods (Chair: Dr. Andrzej Dudek)Clustering for Similarity Data (Chair: Prof. Erhard Godehardt)Clustering: Bias and Stability (Chair: Dr. Christian Hennig)Comparison/Dynamics in Clustering (Chair: Simona Balbi)Hierarchical Clustering (Chair: Prof. Maria Paula Brito)Multiway/Reduced Space Clustering (Chair: Dr. Patrice Bertrand)Discrimination I (Chair: Prof. Guy Cucumel)Discrimination II (Chair: Prof. Ulrich Müller-Funk)Model-Based Clustering Methods II (Chair: Prof. Andrzej Sokolowski)New Clustering Strategies I (Chair: Dr. Jan W. Owsinski)New Clustering Strategies II (Chair: Prof. Immanuel M. Bomze)Selection and Clustering of Variables (Chair: Prof. Jozef Dziechciarz)

Data Analysis Methods

Correspondence Analysis and Related Methods I (Chair: Prof. Jörg Blasius)Correspondence Analysis and Related Methods II

(Chair: Prof. Michael J. Greenacre)Correspondence Analysis and Related Methods III

(Chair: Prof. John Gower)Data Analysis Software (Chair: Prof. Uwe Ligges)

Preface ix

Data Cleaning and Pre-Processing/Ensemble Methods(Chair: Prof. Eugeniusz Gatnar)

Exploratory Data Analysis I (Chair: Prof. Andrea Cerioli)Exploratory Data Analysis II (Visualization)

(Chair: Prof. Anthony C. Atkinson)Exploratory Data Analysis III (Multivariate)

(Chair: Prof. Vincenzo Esposito Vinzi)Exploratory Data Analysis IV (Chair: Prof. Alfred Ultsch)Large and Complex Data I (Chair: Prof. Maurizio Vichi)Large and Complex Data II (Chair: Prof. Tadashi Imaizumi)Mixture Analysis – Mixture Models in Genetics

(Chair: Prof. Wilfried Seidel)Mixture Analysis – Mixture Estimation and Model Selection

(Chair: Prof. Angela Montanari)Non-Gaussian Mixtures (Chair: Prof. Wilfried Seidel)Non-Standard Data I (Chair: Lynne Billard)Non-Standard Data II (Chair: Lynne Billard)Non-Standard Data III (Chair: Lynne Billard)Pattern Recognition and Machine Learning/Data Analysis

(Chair: Prof. Joachim M. Buhmann)Regression Mixture Models (Chair: Prof. Angela Montanari)Visualization of Asymmetry (Chair: Dr. Akinori Okada)Visualization of Symbolic Data (Chair: Prof. Tadashi Imaizumi)Visualization I (Chair: Prof. Patrick J.F. Groenen)Visualization II (Chair: Prof. Patrick J.F. Groenen)

Archaeology and Spatial Science

Archaeology and Historical Geography I(Chairs: Irmela Herzog, Dr. Tim Kerig)

Archaeology and Historical Geography II(Chairs: Irmela Herzog, Dr. Tim Kerig)

Spatial Classification II (Chair: Prof. Alexander Brenning)Spatial Planning (Chair: Dr. Martin Behnisch)

Bio-Sciences

Biostatistics and Bioinformatics - Mult. Tests/Pred. with Genomics Data(Chair: Prof. Geoffrey J. McLachlan)

Highdimensional Genomics I (Chair: Axel Benner)Highdimensional Genomics II (Chair: Prof. Iven Van Mechelen)Medical Health I (Chair: Dr. Berthold Lausen)Medical Health II (Chair: Prof. Taerim Lee)

x Preface

Pre-Clinical Development and Biostatistics (Chair: Axel Benner)SNPs and Genome Analysis (Chair: Prof. Gunter Ritter)

Finance and Banking

Banking and Finance I (Chair: Prof. Ursula Walther)Banking and Finance II (Chair: Prof. Hermann Locarek-Junge)Banking and Finance III (Chair: Prof. Matija Mayer-Fiedrich)Banking and Finance IV (Chair: Prof. Alfred Ultsch)

Linguistics and Text Mining

Linguistics I (Chair: Prof. Jürgen Rolshoven)Text Mining – Classification (Chair: Prof. Andreas Nuernberger)Text Mining II (Chair: Prof. Andreas Nuernberger)

Marketing

Marketing and Management Science II (Chair: Prof. Daniel Baier)Marketing and Management Science III (Chair: Prof. Winfried Steiner)Marketing and Management Science IV (Chair: Prof. Daniel Baier)Marketing and Management Science V (Chair: Prof. Winfried Steiner)Marketing and Management Science VI (Chair: Prof. Reinhold Decker)Retailing/Direktmarketing (Chair: Prof. Reinhold Decker)

Music Science

Statistical Musicology I (Chair: Prof. Claus Weihs)Statistical Musicology II (Chair: Prof. Claus Weihs)

Quality Assurance and Engineering

Multicriteria Optimization II (Chair: Dr. Heike Trautmann)Production Engineering (Chair: Dr. Jorn Mehnen)

Preface xi

Social Sciences

Psychology and Education (Chair: Prof. Sabine Krolak-Schwerdt)Social Sciences I (Chair: Dr. Akinori Okada)Social Sciences II (Chair: Prof. Eugeniusz Gatnar)

Web Mining

Web Mining I (Chair: Prof. W. Gaul)Web Mining II (Chair: Prof. W. Gaul)

•

Contents

Part I (Semi-) Plenary Presentations

Hierarchical Clustering with Performance Guarantees . . . . . . . . . . . . . . . . . . . . . . . 3Sanjoy Dasgupta

Alignment Free String Distances for Phylogeny . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15Frédéric Guyon and Alain Guénoche

Data Quality Dependent Decision Making in PatternClassification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25Josef Kittler and Norman Poh

Clustering Proteins and Reconstructing Evolutionary Events . . . . . . . . . . . . . . . . 37Boris Mirkin

Microarray Dimension Reduction Based on MaximizingMantel Correlation Coefficients Using a Genetic AlgorithmSearch Strategy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49Elena Deych, Robert Culverhouse, and William D. Shannon

Part II Classification and Data Analysis

Classification

Multiparameter Hierarchical Clustering Methods . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63Gunnar Carlsson and Facundo Mémoli

Unsupervised Sparsification of Similarity Graphs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71Tim Gollub and Benno Stein

Simultaneous Clustering and Dimensionality ReductionUsing Variational Bayesian Mixture Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81Kazuho Watanabe, Shotaro Akaho, Shinichiro Omachi,and Masato Okada

xiii

xiv Contents

A Partitioning Method for the Clustering of CategoricalVariables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91Marie Chavent, Vanessa Kuentz, and Jérôme Saracco

Treed Gaussian Process Models for Classification . . . . . . . . . . . . . . . . . . . . . . . . . . . . .101Tamara Broderick and Robert B. Gramacy

Ridgeline Plot and Clusterwise Stability as Tools for MergingGaussian Mixture Components . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .109Christian Hennig

Clustering with Confidence: A Low-Dimensional BinningApproach . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .117Rebecca Nugent and Werner Stuetzle

Local Classification of Discrete Variables by Latent ClassModels . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .127Michael Bücker, Gero Szepannek, and Claus Weihs

A Comparative Study on Discrete Discriminant Analysisthrough a Hierarchical Coupling Approach . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .137Ana Sousa Ferreira

A Comparative Study of Several Parametricand Semiparametric Approaches for Time Series Classification . . . . . . . . . . . . .147Sonia Pértega Díaz and José A. Vilar

Finite Dimensional Representation of Functional Datawith Applications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .157Alberto MuQnoz and Javier González

Clustering Spatio-Functional Data: A Model Based Approach . . . . . . . . . . . . . . .167Elvira Romano, Antonio Balzanella, and Rosanna Verde

Use of Mixture Models in Multiple Hypothesis Testingwith Applications in Bioinformatics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .177Geoffrey J. McLachlan and Leesa Wockner

Finding Groups in Ordinal Data: An Examinationof Some Clustering Procedures . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .185Marek Walesiak and Andrzej Dudek

An Application of One-mode Three-way Overlapping ClusterAnalysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .193Satoru Yokoyama, Atsuho Nakayama, and Akinori Okada

Contents xv

Evaluation of Clustering Results: The Trade-offBias-Variability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .201Margarida G.M.S. Cardoso, Katti Faceli,and André C.P.L.F. de Carvalho

Cluster Structured Multivariate Probability Distributionwith Uniform Marginals . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .209Andrzej Sokolowski and Sabina Denkowska

Analysis of Diversity-Accuracy Relations in Cluster Ensemble . . . . . . . . . . . . . .217Dorota Rozmus

Linear Discriminant Analysis with more Variablesthan Observations: A not so Naive Approach . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .227A. Pedro Duarte Silva

Fast Hierarchical Clustering from the Baire Distance . . . . . . . . . . . . . . . . . . . . . . . . .235Pedro Contreras and Fionn Murtagh

Data Analysis

The Trend Vector Model: Identification and Estimation in SAS . . . . . . . . . . . . .245Mark de Rooij and Hsiu-Ting Yu

Discrete Beta-Type Models . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .253Antonio Punzo

The R Package DAKS: Basic Functions and ComplexAlgorithms in Knowledge Space Theory . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .263Anatol Sargin and Ali Ünlü

Methods for the Analysis of Skew-Symmetry in AsymmetricMultidimensional Scaling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .271Giuseppe Bove

Canonical Correspondence Analysis in Social Science Research . . . . . . . . . . . . .279Michael Greenacre

Exploring Data Through Archetypes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .287Maria Rosaria D’Esposito, Giancarlo Ragozini,and Domenico Vistocco

Exploring Sensitive Topics: Sensitivity, Jeopardy, and Cheating . . . . . . . . . . . . .299Claudia Becker

xvi Contents

Sampling the Join of Streams . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .307Raphaël Féraud, Fabrice Clérot, and Pascal Gouzien

The R Package fechner for Fechnerian Scaling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .315Thomas Kiefer, Ali Ünlü, and Ehtibar N. Dzhafarov

Asymptotic Behaviour in Symbolic Markov Chains . . . . . . . . . . . . . . . . . . . . . . . . . . .323Monique Noirhomme-Fraiture

An Interactive Graphical System for Visualizing DataQuality–Tableplot Graphics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .331Waqas Ahmed Malik, Antony Unwin, and Alexander Gribov

Symbolic Multidimensional Scaling Versus Noisy Variablesand Outliers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .341Marcin Pełka

Principal Components Analysis for Trapezoidal FuzzyNumbers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .351Alexia Pacheco and Oldemar Rodríguez

Factor Selection in Observational Studies – An Applicationof Nonlinear Factor Selection to Propensity Scores . . . . . . . . . . . . . . . . . . . . . . . . . . . .361Stephan Dlugosz

Nonlinear Mapping Using a Hybridof PARAMAP and Isomap Approaches . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .371Ulas Akkucuk and J. Douglas Carroll

Dimensionality Reduction Techniques for Streaming TimeSeries: A New Symbolic Approach . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .381Antonio Balzanella, Antonio Irpino, and Rosanna Verde

A Batesian Semiparametric Generalized Linear Modelwith Random Effects Using Dirichlet Process Priors . . . . . . . . . . . . . . . . . . . . . . . . . .391Kei Miyazaki and Kazuo Shigemasu

Exact Confidence Intervals for Odds Ratios with AlgebraicStatistics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .399Anne Krampe and Sonja Kuhnt

The CHIC Analysis Software v1.0 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .409Angelos Markos, George Menexes, and Iannis Papadimitriou

Contents xvii

Part III Applications

Archaeology and Spatial Planning

Clustering the Roman Heaven: Uncovering the ReligiousStructures in the Roman Province Germania Superior . . . . . . . . . . . . . . . . . . . . . . .419Tudor Ionescu and Leif Scheuermann

Geochemical and Statistical Investigation of Roman StampedTiles of the Legio XXI Rapax . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .427Hans-Georg Bartel, Hans-Joachim Mucha, and Jens Dolata

Land Cover Classification by Multisource Remote Sensing:Comparing Classifiers for Spatial Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .435Alexander Brenning

Are there Cluster of Communities with the SameDynamic Behaviour? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .445Martin Behnisch and Alfred Ultsch

Land Cover Detection with Unsupervised Clusteringand Hierarchical Partitioning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .455Laura Poggio and Pierre Soille

Using Advanced Regression Models for Determining OptimalSoil Heterogeneity Indicators . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .463Georg Ruß, Rudolf Kruse, Martin Schneider, and Peter Wagner

Bio-Sciences

Local Analysis of SNP Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .473Tina Müller, Julia Schiffner, Holger Schwender, Gero Szepannek,Claus Weihs, and Katja Ickstadt

Airborne Particulate Matter and Adverse Health Events:Robust Estimation of Timescale Effects . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .481Massimo Bilancia and Francesco Campobasso

Identification of Specific Genomic Regions Responsiblefor the Invasivity of Neisseria Meningitidis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .491Dunarel Badescu, Abdoulaye Baniré Diallo,and Vladimir Makarenkov

xviii Contents

Classification of ABC Transporters Using CommunityDetection . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .501Claire Gaugain, Roland Barriot, Gwennaele Fichant,and Yves Quentin

Estimation of the Number of Sustained Viral Respondersby Interferon Therapy Using Random Numbers with a LogisticModel . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .509Shinobu Tatsunami, Takahiko Ueno, Rie Kuwabara,Junichi Mimaya, Akira Shirahata, and Masashi Taki

Virtual High Throughput Screening Using Machine LearningMethods . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .517Cherif Mballo and Vladimir Makarenkov

Electronic Data and Web

Network Analysis of Works on Clustering and Classificationfrom Web of Science . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .525Nataša Kejžar, Simona Korenjak Cerne, and Vladimir Batagelj

Recommending in Social Tagging Systems Based on KernelizedMultiway Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .537Alexandros Nanopoulos and Artus Krohn-Grimberghe

Dynamic Population Segmentation in Online MarketMonitoring . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .545Norbert Walchhofer, Karl A. Froeschl, Milan Hronsky,and Kurt Hornik

Gaining ‘Consumer Insights’ from Influential Actorsin Weblog Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .553Martin Klaus and Ralf Wagner

Visualising a Text with a Tree Cloud . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .561Philippe Gambette and Jean Véronis

A Tree Kernel Based on Classification and Citation Datato Analyse Patent Documents . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .571Markus Arndt and Ulrich Arndt

A New SNA Centrality Measure Quantifying the Distanceto the Nearest Center . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .579Angela Bohn, Stefan Theußl, Ingo Feinerer, Kurt Hornik,Patrick Mair, and Norbert Walchhofer

Contents xix

Mining Innovative Ideas to Support New Product Researchand Development . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .587Dirk Thorleuchter, Dirk Van den Poel, and Anita Prinzie

Finance and Banking

The Basis of Credit Scoring: On the Definition of CreditDefault Events . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .595Alexandra Schwarz and Gerhard Arminger

Forecasting Candlesticks Time Series with Locally WeightedLearning Methods . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .603Javier Arroyo

An Analysis of Alternative Methods for MeasuringLong-Run Performance: An Application to ShareRepurchase Announcements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .613Wolfgang Bessler, Julian Holler, and Martin Seim

Knowledge Discovery in Stock Market Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .621Alfred Ultsch and Hermann Locarek-Junge

The Asia Financial Crises and Exchange Rates: Had therebeen Volatility Shifts for Asian Currencies? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .629Takashi Oga and Wolfgang Polasek

The Pricing of Risky Securities in a Fuzzy Least SquareRegression Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .639Francesco Campobasso, Annarita Fanizzi, and Massimo Bilancia

Linguistics

Classification of the Indo-European Languages Usinga Phylogenetic Network Approach . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .647Alix Boc, Anna Maria Di Sciullo, and Vladimir Makarenkov

Parsing as Classification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .657Lidia Khmylko and Wolfgang Menzel

Comparing the Stability of Clustering Results of Dialect DataBased on Several Distance Matrices . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .665Edgar Haimerl and Hans-Joachim Mucha

xx Contents

Marketing

Marketing and Regional Sales: Evaluationof Expenditure Strategies by Spatial Sales Response Functions . . . . . . . . . . . . . .673Daniel Baier and Wolfgang Polasek

A Demand Learning Data Based Approach to OptimizeRevenues of a Retail Chain . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .683Wolfgang Gaul and Abdolhadi Darzian Azizi

Missing Values and the Consistency Problem Concerning AHPData . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .693Wolfgang Gaul and Dominic Gastes

Monte Carlo Methods in the Assessment of New Products:A Comparison of Different Approaches . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .701Said Esber and Daniel Baier

Preference Analysis and Product Design in Markets for ElderlyPeople: A Comparison of Methods and Approaches . . . . . . . . . . . . . . . . . . . . . . . . . . .709Samah Abu-Assab, Daniel Baier, and Mirko Kühne

Usefulness of A Priori Information about Customersfor Market Research: An Analysis for PersonalisationAspects in Retailing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .717Michael Brusch and Eva Stüber

Importance of Consumer Preferences on the Diffusionof Complex Products and Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .725Sabine Schmidt and Magdalena Missler-Behr

Household Possession of Consumer Durables on Backgroundof some Poverty Lines. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .735Józef Dziechciarz, Marta Dziechciarz, and Klaudia Przybysz

Effect of Consumer Perceptions of Web Site Brand Personalityand Web Site Brand Association on Web Site Brand Image . . . . . . . . . . . . . . . . . .743Sandra Loureiro and Silvina Santana

Music Science

Perceptually Based Phoneme Recognition in Popular Music . . . . . . . . . . . . . . . . .751Gero Szepannek, Matthias Gruhne, Bernd Bischl, Sebastian Krey,Tamas Harczos, Frank Klefenz, Christian Dittmar, and Claus Weihs

Contents xxi

SVM Based Instrument and Timbre Classification . . . . . . . . . . . . . . . . . . . . . . . . . . . .759Sebastian Krey and Uwe Ligges

Three-way Scaling and Clustering Approach to MusicalStructural Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .767Mitsuhiro Tsuji, Toshio Shimokawa, and Akinori Okada

Improving GMM Classifiers by Preliminary One-class SVMOutlier Detection: Application to Automatic Music MoodEstimation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .775Hanna Lukashevich and Christian Dittmar

Quality Assurance and Engineering

Multiobjective Optimization for Decision Supportin Automated 2.5D System-in-Package Electronics Design . . . . . . . . . . . . . . . . . . . .783Martin Berger, Michael Schröder, and Karl-Heinz Küfer

Multi-Objective Quality Assessment for EA Parameter Tuning . . . . . . . . . . . . . .793Heike Trautmann, Boris Naujoks, and Mike Preuss

A Novel Multi-Objective Target Value Optimization Approach . . . . . . . . . . . . . .801S. Wenzel, S. Straatmann, L. Kwiatkowski, P. Schmelzer,and J. Kunert

Desirability-Based Multi-Criteria Optimisation of HVOFSpray Experiments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .811Gerd Kopp, Ingor Baumann, Evelina Vogli, Wolfgang Tillmann,and Claus Weihs

Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .819

•

Contributors

Samah Abu-Assab Chair of Marketing and Innovation Management, BrandenburgUniversity of Technology Cottbus, Postbox 101344, 03013 Cottbus, Germany,samah.assab@tu-cottbus.de

Shotaro Akaho The National Institute of Advanced Industrial Science andTechnology, 1-1-1, Umezono, Tsukuba, 305-8568, Japan, s.akaho@aist.go.jp

Ulas Akkucuk Department of Management, Bogazici University, Istanbul,Turkey, ulas.akkucuk@boun.edu.tr

Gerhard Arminger Schumpeter School of Business and Economics, Universityof Wuppertal, Gaußstr. 20, 42097 Wuppertal, Germany, arminger@statistik.uni-wuppertal.de

Markus Arndt European Patent Office, Erhardt Street 27, 80649 Munich,Germany, marndt@epo.org

Ulrich Arndt data2knowledge GmbH, Wilhelm-Umbach-Street 12, 63225Langen, Germany, ulrich.arndt@data2knowledge.de

Javier Arroyo Dpto. de Ingeniería del Software e Inteligencia Artificial,Universidad Complutense de Madrid. Prof. José García Santesmases s/n 28040Madrid, Spain, javier.arroyo@fdi.ucm.es

Abdolhadi Darzian Azizi Institut für Entscheidungstheorie undUnternehmensforschung, Karlsruhe University, Karlsruhe, Germany,ah.darzian.azizi@etu.uni-karlsruhe.de

Dunarel Badescu Département d’informatique, Université du Québec à Montréal,C.P. 8888, Succursale Centre-Ville, Montréal QC, Canada H3C 3P8,badescu.dunarel@uqam.ca

Daniel Baier Chair of Marketing and Innovation Management, BrandenburgUniversity of Technology Cottbus, Postbox 101344, 03013 Cottbus, Germany,daniel.baier@tu-cottbus.de

Antonio Balzanella Facoltá di Economia, Dipartimento di Matematica eStatistica, Universitá degliStudi di Napoli Federico II, Via Cinthia, 80138 Napoli,balzanella2@alice.it

xxiii

xxiv Contributors

Roland Barriot Université de Toulouse UPS Laboratoire de Microbiologie etGénétique Moléculaires, 31000 Toulouse, France, Roland.Barriot@ibcg.biotoul.fr

and

Université Paul Sabatier, CNRS, LMGM, Bat. IBCG, 118, route de Narbonne,31062 Toulouse cedex 9, France, roland.barriot@ibcg.biotoul.fr

Hans-Georg Bartel Institute for Chemistry, Humboldt University Berlin,Brook-Taylor-Straße 2, 12489 Berlin, Germany, hg.bartel@yahoo.de

Vladimir Batagelj Faculty of Mathematics and Physics, University of Ljubljana,Jadranska 19, 1000 Ljubljana, Slovenia, vladimir.batagelj@fmf.uni-lj.si

Ingor Baumann Lehrstuhl für Werkstofftechnologie, Fakultät Maschinenbau, TUDortmund, Leonhard-Euler Str. 2, 44227 Dortmund, Germany,ingor.baumann@udo.edu

Claudia Becker School of Law, Economics, and Business, Martin-Luther-University Halle-Wittenberg, 06099 Halle, Germany, claudia.becker@wiwi.uni-halle.de

Martin Behnisch Institute of Historic Building Research and Conservation, ETHHoenggerberg, HIT H 21.3, 8093 Zurich, Switzerland, Behnisch@arch.ethz.ch

Martin Berger Fraunhofer Institute for Industrial Mathematics (ITWM),Fraunhofer-Platz 1 67663 Kaiserslautern, Germany, martin.berger@itwm.fraunhofer.de

Wolfgang Bessler Center for Finance and Banking, Justus-Liebig University,Licher Strasse 74, 35394 Giessen, Germany, wolfgang.bessler@wirtschaft.uni-giessen.de

Massimo Bilancia Dipartimento di Scienze Statistiche “Carlo Cecchi”, Universitàdegli Studi di Bari, Bari, Italy, mabil@dss.uniba.it

Bernd Bischl Faculty of Statistics, Dortmund University of Technology, 44221Dortmund, Germany, bernd_bischl@gmx.net

Alix Boc Université du Québec à Montréal, Case postale 8888, succursaleCentre-ville, Montréal, QC, Canada H3C 3P8, boc.alix@courrier.uqam.ca

Angela Bohn Wirtschaftsuniversität Wien, 1090 Wien, Austria,Angela.Bohn@gmail.com

Giuseppe Bove Dipartimento di Scienze dell’Educazione, Università degli StudiRoma Tre, Rome, Italy, bove@uniroma3.it

Alexander Brenning Department of Geography and Environmental Management,University of Waterloo, 200 University Ave. W., Waterloo, ON, Canada N2L 3G1,brenning@uwaterloo.ca

Tamara Broderick Statistical Laboratory, University of Cambridge, Cambridge,UK, tb361@statslab.cam.ac.uk

Contributors xxv

Michael Brusch Institute of Business Administration and Economics,Brandenburg University of Technology Cottbus, Postbox 101344, 03013 Cottbus,Germany, m.brusch@tu-cottbus.de

Michael Bücker Fakultät Statistik, Technische Universität Dortmund, 44221Dortmund, Germany, buecker@statistik.tu-dortmund.de

Francesco Campobasso Dipartimento di Scienze Statistiche “Carlo Cecchi”,Università degli Studi di Bari, Bari, Italy, fracampo@dss.uniba.it

Margarida G.M.S. Cardoso Department of Quantitative Methods, ISCTEBusiness School, Av. das Forças Armadas 1649-026, Lisboa, Portugal,margarida.cardoso@iscte.pt

Gunnar Carlsson Mathematics Department, Stanford University, Stanford, CA,USA, gunnar@math.stanford.edu

J. Douglas Carroll Rutgers Business School, Newark and New Brunswick, NJ,USA, dcarroll@rci.rutgers.edu

Simona Korenjak Cerne Faculty of Economics, University of Ljubljana,Kardeljeva pl. 17, 1000 Ljubljana, Slovenia, simona.cerne@ef.uni-lj.si

Marie Chavent Université de Bordeaux, IMB, CNRS, UMR 5251, France

and

INRIA Bordeaux Sud-Ouest, CQFD team, France, chavent@math.u-bordeaux1.fr

Fabrice Clérot Orange Labs, fabrice.clerot@orange-ft.com

Pedro Contreras Department of Computer Science, Royal Holloway, Universityof London, 57 Egham Hill, Egham TW20 OEX, England, pedro@cs.rhul.ac.uk

Robert Culverhouse Washington University School of Medicine, St. Louis, MO,USA, rculverh@wustl.edu

Sanjoy Dasgupta University of California, San Diego, CA, USA,dasgupta@cs.ucsd.edu

André C.P.L.F. de Carvalho Department of Computer Science, ICMC, Universityof São Paulo, Av. Trabalhador Sãocarlense, 400, CEP 13560-970, São Carlos, SP,Brazil, andre@icmc.usp.br

Sabina Denkowska Department of Statistics, Cracow University of Economics,Cracow, Poland, sabina.denkowska@uek.krakow.pl

Mark de Rooij Leiden University Institute for Psychological Research, Leiden,The Netherlands, rooijm@fsw.leidenununiv.nl

Maria Rosaria D’Esposito Department of Economics and Statistics, Universityof Salerno, Salerno, Italy, mdesposi@unisa.it

Elena Deych Washington University School of Medicine, St. Louis, MO, USA,EDEYCH@dom.wustl.edu

xxvi Contributors

Abdoulaye Baniré Diallo Département d’informatique, Université du Québec àMontréal, C.P. 8888, Succursale Centre-Ville, Montréal QC, Canada H3C 3P8,diallo.abdoulaye@uqam.ca

and

McGill Centre for Bioinformatics and School of Computer Science, McGillUniversity, 3775 University Street, Montréal QC, Canada H3A 2B4

Sonia Pértega Díaz Unidad de Epidemiología Clínica y Bioestadística,Hospital de A Coruña, As Xubias, 84, 15006 A Coruña, Spain,Sonia.Pertega.Diaz@sergas.es

Anna Maria Di Sciullo Université du Québec à Montréal, Case postale 8888,succursale Centre-ville, Montréal, QC, Canada H3C 3P8, disciullo.anne-marie@uqam.ca

Christian Dittmar Fraunhofer Institute of Digital Media Technology (IDMT),Ehrenbergstr. 31, 98693 Ilmenau, Germany, dmr@idmt.fraunhofer.de

Stephan Dlugosz ZEW Centre for European Economic Research, Mannheim,Germany, dlugosz@zew.de

Jens Dolata Head Office for Cultural Heritage Rhineland-Palatinate (GDKE),Große Langgasse 29, 55116 Mainz, Germany, dolata@ziegelforschung.de

Andrzej Dudek Wrocław University of Economics, Nowowiejska 3, 58-500Jelenia Góra, Poland, andrzej.dudek@ue.wroc.pl

Ehtibar N. Dzhafarov Department of Psychological Sciences, Purdue University,West Lafayette, IN, USA, ehtibar@purdue.edu

Józef Dziechciarz University of Economics, Wrocław, Poland,jozef.dziechciarz@ue.wroc.pl

Marta Dziechciarz University of Economics, Wrocław, Poland,marta.dziechciarz@ue.wroc.pl

Said Esber Chair of Marketing and Innovation Management, BrandenburgUniversity of Technology Cottbus, Postbox 101344, 03013 Cottbus, Germany,esbersai@tu-cottbus.de

Katti Faceli Federal University of São Carlos, Campus Sorocaba, Rodovia JoãoLeme dos Santos, Km 110, 18052-780, Sorocaba, SP, Brazil, katti@ufscar.br

Annarita Fanizzi Dipartimento di Scienze Statistiche “Carlo Cecchi”, Universitàdegli Studi di Bari, Bari, Italy, a.fanizzi@dss.uniba.it

Ingo Feinerer Technische Universität Wien, 1040 Wien, Austria, Feinerer@dbai.tuwien.ac.at

Raphaël Féraud Raphaël Féraud, Orange Labs, 2 avenue Pierre Marzin, 22300Lannion, France. raphael.feraud@orange-ftgroup.com

Contributors xxvii

Ana Sousa Ferreira LEAD, FPCE, University of Lisbon, Alameda daUniversidade, 1649-013 Lisboa, Portugal

and

CEAUL, Multivariate Data Analysis and Modelling Project, Lisboa, Portugal,asferreira@fpce.ul.pt

Gwennaele Fichant Université de Toulouse, UPS, Laboratoire de Microbiologieet Génétique Moléculaires, 31000 Toulouse, France, Gwennaele.Fichant@ibcg.biotoul.fr

and

Université Paul Sabatier, CNRS, LMGM, Bat. IBCG, 118, route de Narbonne,31062 Toulouse cedex 9, France, gwennaele.fichant@ibcg.biotoul.fr

Karl A. Froeschl University of Vienna, Dr.-Karl-Lueger-Ring 1, 1010 Vienna,Austria, Karl.A.Froeschl@univie.ac.at

Philippe Gambette L.I.R.M.M., UMR CNRS 5506, Université Montpellier 2,Montpellier, France, gambette@lirmm.fr

Dominic Gastes Institute of Decision Theory and Operations Research, Universityof Karlsruhe, Kaiserstrasse 12, 76131 Karlsruhe, Germany, dominic.gastes@wiwi.uni-karlsruhe.de

Claire Gaugain Université de Toulouse, UPS, Laboratoire de Microbiologie etGénétique Moléculaires, 31000 Toulouse, France, claire_gaugain@yahoo.fr

and

Université Paul Sabatier, CNRS, LMGM, Bat. IBCG, 118, route de Narbonne,31062 Toulouse cedex 9, France, claire.gaugain@ibcg.biotoul.fr

Wolfgang Gaul Institute of Decision Theory and Operations Research, Universityof Karlsruhe, Kaiserstrasse 12, 76131 Karlsruhe, Germany, wolfgang.gaul@wiwi.uni-karlsruhe.de

Tim Gollub Faculty of Media, Media Systems, Bauhaus-Universität Weimar,Weimar, Germany, Tim.Gollub@uni-weimar.de

Javier González Universidad Carlos III de Madrid, c/Madrid 126, 28903 Getafe,Spain, javier.gonzalez@uc3m.es

Pascal Gouzien Orange Labs, pascal.gouzien@orange-ftgroup.com

Robert B. Gramacy Statistical Laboratory, University of Cambridge, Cambridge,UK, bobby@statslab.cam.ac.uk

Michael Greenacre Universitat Pompeu Fabra, Ramon Trias Fargas 25-27, 08005Barcelona, Spain, michael@upf.es

Alexander Gribov Department of Computer Oriented Statistics and DataAnalysis, Institute of Mathematics, University of Augsburg, Augsburg, Germany,alexander.gribov@math.uni-augsburg.de

xxviii Contributors

Matthias Gruhne Fraunhofer Institute of Digital Media Technology (IDMT),Ilmenau, Germany, matthias.gruhne@idmt.fraunhofer.de

Alain Guénoche IML, CNRS, 163 Avenue de Luminy, Marseille, France,guenoche@iml.univ-mrs.fr

Frédéric Guyon MTI, INSERM-Université Denis Diderot, 36 rue Hélène Brion,Paris, France, frederic.guyon@univ-paris-diderot.fr

Edgar Haimerl Institut für Romanistik, Universität Salzburg, Akademiestraße 24,5020 Salzburg, Austria, Edgar@Haimerl.eu

Tamas Harczos Fraunhofer Institute of Digital Media Technology (IDMT),Ilmenau, Germany, tamas.harczos@idmt.fraunhofer.de

Christian Hennig Department of Statistical Science, UCL, Gower Street, LondonWC1E 6BT, UK, chrish@stats.ucl.ac.uk

Julian Holler Center for Finance and Banking, Justus-Liebig University, LicherStrasse 74,35394 Giessen, Germany, julian.holler@wirtschaft.uni-giessen.de

Kurt Hornik Vienna University of Economics and Business, Augasse 2-6, 1090Vienna, Austria, Kurt.Hornik@wu.ac.at

Milan Hronsky EC3 – E-Commerce Competence Center, Vorlaufstrasse 5/6,1010 Vienna, Austria, Milan.Hronsky@ec3.at

Katja Ickstadt Faculty of Statistics, TU Dortmund and SFB 475, Dortmund,Germany, ickstadt@statistik.uni-dortmund.de

Tudor Ionescu IKE, Universität Stuttgart, Stuttgart, Germany, tudor.ionescu@ike.uni-stuttgart.de

Antonio Irpino Department of European and Mediterranean Studies, SecondUniversity of Naples, Via del Setificio 15, 81100, Caserta, Italy, antonio.irpino@unina2.it

Nataša Kejžar Faculty of Social Sciences, University of Ljubljana, Kardeljeva pl.5, 1000 Ljubljana, Slovenia, natasa.kejzar@fdv.uni-lj.si

Lidia Khmylko Natural Language Systems Group, University of Hamburg,Vogt-Kölln-Straße 30, 22527 Hamburg, Germany, khmylko@informatik.uni-hamburg.de

Thomas Kiefer Technische Universität Dortmund, Fakultät Statistik, D-44221Dortmund, Germany, kiefer@statistik.tu-dortmund.de

Josef Kittler Centre for Vision, Speech and Signal Processing University ofSurrey, Guildford GU2 7XH, UK, J/Kittler@surrey.ac.uk

Martin Klaus SVI Endowed Chair for International Direct Marketing, DMCCDialog Marketing Competence Center, University of Kassel, Kassel, Germany,mklaus@wirtschaft.uni-kassel.de

Contributors xxix

Frank Klefenz Fraunhofer Institute of Digital Media Technology (IDMT),Ilmenau, Germany, frank.klefenz@idmt.fraunhofer.de

Gerd Kopp Lehrstuhl Computergestützte Statistik, Fakultät Statistik, TUDortmund, Vogelpothsweg 87, 44227 Dortmund, Germany, g.kopp@gmx.net

Anne Krampe Faculty of Statistics, TU Dortmund University, Dortmund,Germany, anne.krampe@uni-dortmund.de

Sebastian Krey Faculty of Statistics, Dortmund University of Technology, 44221Dortmund, Germany, krey@statistik.tu-dortmund.de

Artus Krohn-Grimberghe Institute of Computer Science, Information Systemsand Machine Learning Lab, University of Hildesheim, Germany, artus@ismll.de

Rudolf Kruse Otto-von-Guericke-Universität Magdeburg, Magdeburg, Germany,kruse@iws.cs.uni-magdeburg.de

Vanessa Kuentz Université de Bordeaux, IMB, CNRS, UMR 5251, France

and

INRIA Bordeaux Sud-Ouest, CQFD team, France, kuentz@math.u-bordeaux1.fr

Karl-Heinz Küfer Fraunhofer Institute for Industrial Mathematics (ITWM),Fraunhofer-Platz 1 67663 Kaiserslautern, Germany, karl-heinz.kuefer@itwm.fraunhofer.de

Mirko Kühne Chair of Marketing and Innovation Management, BrandenburgUniversity of Technology Cottbus, Postbox 101344, 03013 Cottbus, Germany,kuehnmi1@tu-cottbus.de

Sonja Kuhnt Faculty of Statistics, TU Dortmund University, Dortmund, Germany,kuhnt@statistik.tu-dortmund.de

J. Kunert Department of Statistics, Technische Universität Dortmund, Dortmund,Germany, kunert@statistik.tu-dortmund.de

Rie Kuwabara Department of Pediatrics of Yokohama Seibu Hospital,Collaboration of Unit of Medical Statistics, Institute of Radioisotope Research,St. Marianna University School of Medicine, Kawasaki 216-8511, Japan

L. Kwiatkowski Department of Mechanical Engineering, Technische UniversitätDortmund, Dortmund, Germany, lukas.kwiatkowski@iul.tu-dortmund.de

Uwe Ligges Fakultät Statistik, Technische Universität Dortmund, 44221Dortmund, Germany, ligges@statistik.tu-dortmund.de

Hermann Locarek-Junge Lehrstuhl für Finanzwirtschaft und Finanzdienstleis-tungen, Technische Universität Dresden, Dresden, Germany, locarekj@finance.wiwi.tu-dresden.de

Sandra LoureiroPortugal, sandra.loureiro@ua.pt

University of Aveiro, Campus de Santiago, 3810-193 Aveiro,

xxx Contributors

Hanna Lukashevich Fraunhofer IDMT, Ehrenbergstr. 31, 98693 Ilmenau,Germany, dmr@idmt.fraunhofer.de

Patrick Mair Wirtschaftsuniversität Wien, 1090 Wien, Austria,Patrick.Mair@wu.ac.at

Vladimir Makarenkov Laboratoire de bioinformatique, Départementd’informatique, Université du Québec à Montréal, C.P. 8888, SuccursaleCentre-Ville, Montréal QC, Canada H3C 3P8, makarenkov.vladimir@uqam.ca

Waqas Ahmed Malik Department of Computer Oriented Statistics and DataAnalysis, Institute of Mathematics, University of Augsburg, Augsburg, Germany,malik@math.uni-augsburg.de

Angelos Markos Department of Applied Informatics, University of Macedonia,Macedonia, Greece, amarkos@uom.gr

Cherif Mballo Laboratoire de bioinformatique, Departement d’informatique,UQAM, C.P. 8888 Succursale Centre-Ville, Montreal, QC, Canada H3C 3P8,mballo.cherif@courrier.uqam.ca

Geoffrey J. McLachlan Department of Mathematics, University of Queensland,Australia

and

Institute for Molecular Bioscience, University of Queensland, Australia,gjm@maths.uq.edu.au

Facundo Mémoli Mathematics Department, Stanford University, Stanford, CA,USA, memoli@math.stanford.edu

George Menexes Lab of Agronomy, School of Agriculture, Aristotle Universityof Thessaloniki, Thessaloniki, Greece, gmenexes@uom.gr

Wolfgang Menzel Natural Language Systems Group, University of Hamburg,Vogt-Kölln-Straße 30, 22527 Hamburg, Germany, menzel@informatik.uni-hamburg.de

Junichi Mimaya The Research Committee for the National Surveillance onCoagulation Disorders in Japan, Japan, m2taki@marianna-u.ac.jp

Boris Mirkin School of Computer Science, Birkbeck University of London, MaletStreet, London, WC1 7HX, UK, mirkin@dcs.bbk.ac.uk

and

Department of Applied Mathematics, Higher School of Economics, Kirpichnaya33/5, Moscow, Russian Federation, bmirkin@yandex.ru

Magdalena Missler-Behr Chair of Planning and Innovation Management,Brandenburg University of Technology Cottbus, Konrad-Wachsmann-Allee 1,03046 Cottbus, Germany, magdalena.missler-behr@tu-cottbus.de