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German-Japanese Interchange of Data Analysis Results

  • Conference proceedings
  • © 2014

Overview

Editors:
  1. Wolfgang Gaul

    1. Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany

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  2. Andreas Geyer-Schulz

    1. Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany

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  3. Yasumasa Baba

    1. The Institute of Statistical Mathematics, Tokyo, Japan

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  4. Akinori Okada

    1. Graduate School of Management and Information Systems, Tama University, Tokyo, Japan

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  • Focuses on the interface between Data Analysis and Computer Science
  • Presents innovative methods and results for many data analysis problems
  • Offers applications from a wide area of disciplines?
  • Includes supplementary material: sn.pub/extras

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Table of contents (22 papers)

  1. Front Matter

    Pages i-xiii
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  2. Clustering

    1. Front Matter

      Pages 1-1
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    2. Model-Based Clustering Methods for Time Series

      • Hans-Hermann Bock
      Pages 3-15

    3. The Randomized Greedy Modularity Clustering Algorithm and the Core Groups Graph Clustering Scheme

      • Andreas Geyer-Schulz, Michael Ovelgönne
      Pages 17-36

    4. Comparison of Two Distribution Valued Dissimilarities and Its Application for Symbolic Clustering

      • Yusuke Matsui, Yuriko Komiya, Hiroyuki Minami, Masahiro Mizuta
      Pages 37-46

    5. Pairwise Data Clustering Accompanied by Validation and Visualisation

      • Hans-Joachim Mucha
      Pages 47-57

    6. Classification, Clustering, and Visualisation Based on Dual Scaling

      • Hans-Joachim Mucha
      Pages 59-69

    7. Variable Selection in K-Means Clustering via Regularization

      • Yutaka Nishida
      Pages 71-79

    8. Structural Representation of Categorical Data and Cluster Analysis Through Filters

      • Shizuhiko Nishisato
      Pages 81-90

    9. Three-Mode Hierarchical Subspace Clustering with Noise Variables and Occasions

      • Kensuke Tanioka, Hiroshi Yadohisa
      Pages 91-99

  3. Analysis of Data and Models

    1. Front Matter

      Pages 101-101
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    2. Bayesian Methods for Conjoint Analysis-Based Predictions: Do We Still Need Latent Classes?

      • Daniel Baier
      Pages 103-113

    3. Non-additive Utility Functions: Choquet Integral Versus Weighted DNF Formulas

      • Eyke Hüllermeier, Ingo Schmitt
      Pages 115-123

    4. A Symmetry Test for One-Mode Three-Way Proximity Data

      • Atsuho Nakayama, Hiroyuki Tsurumi, Akinori Okada
      Pages 125-134

    5. Analysis of Conditional and Marginal Association in One-Mode Three-Way Proximity Data

      • Atsuho Nakayama
      Pages 135-146

    6. Analysis of Asymmetric Relationships Among Soft Drink Brands

      • Akinori Okada
      Pages 147-156

    7. Automatic Regularization of Factorization Models

      • Steffen Rendle
      Pages 157-166

    8. Three-Way Data Analysis for Multivariate Spatial Time Series

      • Mitsuhiro Tsuji, Hiroshi Kageyama, Toshio Shimokawa
      Pages 167-175

  4. Applications

    1. Front Matter

      Pages 177-177
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    2. Assessment of the Relationship Between Native Thoracic Aortic Curvature and Endoleak Formation After TEVAR Based on Linear Discriminant Analysis

      • Kuniyoshi Hayashi, Fumio Ishioka, Bhargav Raman, Daniel Y. Sze, Hiroshi Suito, Takuya Ueda et al.
      Pages 179-192
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Keywords

About this book

This volume focuses on innovative approaches and recent developments in clustering, analysis of data and models, and applications: The first part of the book covers a broad range of innovations in the area of clustering, from algorithmic innovations for graph clustering to new visualization and evaluation techniques. The second part addresses new developments in data and decision analysis (conjoint analysis, non-additive utility functions, analysis of asymmetric relationships, and regularization techniques). The third part is devoted to the application of innovative data analysis methods in the life-sciences, the social sciences and in engineering. All contributions in this volume are revised and extended versions of selected papers presented in the German/Japanese Workshops at Karlsruhe (2010) and Kyoto (2012). 

Editors and Affiliations

  • Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany

    Wolfgang Gaul, Andreas Geyer-Schulz

  • The Institute of Statistical Mathematics, Tokyo, Japan

    Yasumasa Baba

  • Graduate School of Management and Information Systems, Tama University, Tokyo, Japan

    Akinori Okada

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