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Advances in Data Analysis, Data Handling and Business Intelligence

Proceedings of the 32nd Annual Conference of the Gesellschaft für Klassifikation e.V., Joint Conference with the British Classification Society (BCS) and the Dutch/Flemish Classification Society (VOC), Helmut-Schmidt-University, Hamburg, July 16-18, 2008

  • Conference proceedings
  • © 2010

Overview

Editors:
  1. Andreas Fink

    1. Universität der Bundeswehr, Fak. Wirtschafts-/Sozialwissenschaften, Helmut-Schmidt-Universität, Hamburg, Germany

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  2. Berthold Lausen

    1. Dept. Mathematical Sciences, University of Essex, Colchester, United Kingdom

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  3. Wilfried Seidel

    1. Universität der Bundeswehr, Fak. Wirtschafts-/Sozialwissenschaften, Helmut-Schmidt-Universität, Hamburg, Germany

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  4. Alfred Ultsch

    1. FB 12 Mathematik und Informatik, Datenbionik AG, Universität Marburg, Marburg, Germany

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Table of contents (71 papers)

  1. Front Matter

    Pages 1-23
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  2. Invited

    1. Front Matter

      Pages 1-1
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    2. Semi-supervised Probabilistic Distance Clustering and the Uncertainty of Classification

      • Cem Iyigun, Adi Ben-Israel
      Pages 3-20

    3. Strategies of Model Construction for the Analysis of Judgment Data

      • Sabine Krolak-Schwerdt
      Pages 21-32

    4. Clustering of High-Dimensional Data via Finite Mixture Models

      • Geoff J. McLachlan, Jangsun Baek
      Pages 33-44

    5. Clustering and Dimensionality Reduction to Discover Interesting Patterns in Binary Data

      • Francesco Palumbo, Alfonso Iodice D’Enza
      Pages 45-55

    6. Kernel Methods for Detecting the Direction of Time Series

      • Jonas Peters, Dominik Janzing, Arthur Gretton, Bernhard Schölkopf
      Pages 57-66

    7. Statistical Processes Under Change: Enhancing Data Quality with Pretests

      • Walter Radermacher, Sabine Sattelberger
      Pages 67-79

  3. Clustering and Classification

    1. Front Matter

      Pages 82-82
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    2. Evaluation Strategies for Learning Algorithms of Hierarchies

      • Korinna Bade, Dominik Benz
      Pages 83-92

    3. Fuzzy Subspace Clustering

      • Christian Borgelt
      Pages 93-103

    4. Motif-Based Classification of Time Series with Bayesian Networks and SVMs

      • Krisztian Buza, Lars Schmidt-Thieme
      Pages 105-114

    5. A Novel Approach to Construct Discrete Support Vector Machine Classifiers

      • Marco Caserta, Stefan Lessmann, Stefan Voß
      Pages 115-125

    6. Predictive Classification Trees

      • Stephan Dlugosz, Ulrich Müller-Funk
      Pages 127-134

    7. Isolated Vertices in Random Intersection Graphs

      • Erhard Godehardt, Jerzy Jaworski, Katarzyna Rybarczyk
      Pages 135-145

    8. Strengths and Weaknesses of Ant Colony Clustering

      • Lutz Herrmann, Alfred Ultsch
      Pages 147-156

    9. Variable Selection for Kernel Classifiers: A Feature-to-Input Space Approach

      • Surette Oosthuizen, Sarel Steel
      Pages 157-166

    10. Finite Mixture and Genetic Algorithm Segmentation in Partial Least Squares Path Modeling: Identification of Multiple Segments in Complex Path Models

      • Christian M. Ringle, Marko Sarstedt, Rainer Schlittgen
      Pages 167-176

    11. Cluster Ensemble Based on Co-occurrence Data

      • Dorota Rozmus
      Pages 177-184

    12. Localized Logistic Regression for Categorical Influential Factors

      • Julia Schiffner, Gero Szepannek, Thierry Monthé, Claus Weihs
      Pages 185-195
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Keywords

About this book

Data Analysis, Data Handling and Business Intelligence are research areas at the intersection of computer science, artificial intelligence, mathematics, and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as in marketing, finance, economics, engineering, linguistics, archaeology, musicology, medical science, and biology. This volume contains the revised versions of selected papers presented during the 32nd Annual Conference of the German Classification Society (Gesellschaft für Klassifikation, GfKl). The conference, which was organized in cooperation with the British Classification Society (BCS) and the Dutch/Flemish Classification Society (VOC), was hosted by Helmut-Schmidt-University, Hamburg, Germany, in July 2008.

Editors and Affiliations

  • Universität der Bundeswehr, Fak. Wirtschafts-/Sozialwissenschaften, Helmut-Schmidt-Universität, Hamburg, Germany

    Andreas Fink, Wilfried Seidel

  • Dept. Mathematical Sciences, University of Essex, Colchester, United Kingdom

    Berthold Lausen

  • FB 12 Mathematik und Informatik, Datenbionik AG, Universität Marburg, Marburg, Germany

    Alfred Ultsch

Bibliographic Information

  • Book Title: Advances in Data Analysis, Data Handling and Business Intelligence

  • Book Subtitle: Proceedings of the 32nd Annual Conference of the Gesellschaft für Klassifikation e.V., Joint Conference with the British Classification Society (BCS) and the Dutch/Flemish Classification Society (VOC), Helmut-Schmidt-University, Hamburg, July 16-18, 2008

  • Editors: Andreas Fink, Berthold Lausen, Wilfried Seidel, Alfred Ultsch

  • Series Title: Studies in Classification, Data Analysis, and Knowledge Organization

  • DOI: https://doi.org/10.1007/978-3-642-01044-6

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2010

  • Softcover ISBN: 978-3-642-01043-9Published: 06 November 2009

  • eBook ISBN: 978-3-642-01044-6Published: 14 October 2009

  • Series ISSN: 1431-8814

  • Series E-ISSN: 2198-3321

  • Edition Number: 1

  • Number of Pages: XXVI, 695

  • Number of Illustrations: 104 b/w illustrations, 68 illustrations in colour

  • Topics: Artificial Intelligence, Statistics, general, IT in Business, Data Mining and Knowledge Discovery

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