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Cooperation in Classification and Data Analysis

Proceedings of Two German-Japanese Workshops

  • Conference proceedings
  • © 2009

Overview

Editors:
  1. Wolfgang Gaul
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  2. Hans-Hermann Bock
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  3. Tadashi Imaizumi
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  4. Akinori Okada
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Table of contents (21 papers)

  1. Front Matter

    Pages 1-10
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  2. Classification and Visualization

    1. Front Matter

      Pages 1-1
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    2. Analyzing Symbolic Data

      • H.-H. Bock
      Pages 3-12

    3. Constraining Shape and Size in Clustering

      • C. Borgelt, R. Kruse
      Pages 13-25

    4. Dissolution and Isolation Robustness of Fixed Point Clusters

      • C. Hennig
      Pages 27-39

    5. ADCLUS

      • M. Wiedenbeck, S. Krolak-Schwerdt
      Pages 41-51

    6. Density-Based Multidimensional Scaling

      • F. Rehm, F. Klawonn, R. Kruse
      Pages 53-60

    7. Classification of Binary Data Using a Spherical Distribution

      • Y. Sato
      Pages 61-69

    8. Fuzzy Clustering Based Regression with Attribute Weights

      • M. Sato-Ilic
      Pages 71-80

    9. Polynomial Regression on a Dependent Variable with Immeasurable Observations

      • H.-Y. Siew, Y. Baba
      Pages 81-88

  3. Methods in Fields

    1. Front Matter

      Pages 1-1
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    2. Feedback Options for a Personal News Recommendation Tool

      • C. Bomhardt, W. Gaul
      Pages 91-98

    3. Classification in Marketing Science

      • S. Scholz, R. Wagner
      Pages 99-106

    4. Deriving a Statistical Model for the Prediction of Spiralling in BTA Deep-Hole-Drilling from a Physical Model

      • C. Weihs, N. Raabe, O. Webber
      Pages 107-114

    5. Analyzing Protein–Protein Interaction with Variant Analysis

      • G. Ritter, M. Gallegos
      Pages 115-122

    6. Estimation for the Parameters in Geostatistics

      • D. Niu, T. Tarumi
      Pages 123-130

    7. Identifying Patients at Risk

      • T. Knorr, L. Schmidt-Thieme, C. Johner
      Pages 131-140

    8. Sequential Multiple Comparison Procedure for Finding a Changing Point in Dose Finding Test

      • H. Douke, T. Nakamura
      Pages 141-149

    9. Semi-supervised Clustering of Yeast Gene Expression Data

      • A. Schönhuth, I. G. Costa, A. Schliep
      Pages 151-159

    10. Event Detection in Environmental Scanning

      • R. Wagner, J. Ontrup, S. Scholz
      Pages 161-168
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Keywords

About this book

This volume presents theories, models, algorithms, and applications in clustering, classification, and visualization. It also includes applications of clustering, classification, and visualization in various fields such as marketing, recommendation system, biology, sociology, and social survey. The contributions give insight into new models and concepts and show the variety of research in clustering, classification, and visualization.

Reviews

From the reviews:

“This edited volume is dedicated to the arena of clustering, classification and visualization. … This edited volume is a collection of selected papers presented at two joint German–Japanese symposia on data analysis and related fields. … Each paper starts with an abstract followed by a reasonably good introduction and the usual contents as expected in a research paper, and end with a conclusion and references. … Seemingly, the target audience may be … group of people doing research in these areas and libraries.” (Technometrics, Vol. 52 (1), February, 2010)

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