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Data Science, Classification, and Related Methods

Proceedings of the Fifth Conference of the International Federation of Classification Societies (IFCS-96), Kobe, Japan, March 27–30, 1996

  • Chikio Hayashi
  • Keiji Yajima
  • Hans-Hermann Bock
  • Noboru Ohsumi
  • Yutaka Tanaka
  • Yasumasa Baba

Table of contents

  1. Front Matter
    Pages I-XV
  2. General Aspects of Data Science

    1. Front Matter
      Pages 1-1
    2. Hans H. Bock
      Pages 3-21
    3. A. D. Gordon
      Pages 22-39
    4. Krzysztof Jajuga
      Pages 63-70
    5. François-Joseph Lapointe
      Pages 71-88
    6. F. Costa Nicolau, H. Bacelar-Nicolau
      Pages 89-98
    7. Jean-Paul Rasson
      Pages 99-106
  3. Methodologies in Classification

    1. Front Matter
      Pages 107-107
    2. Evaluation and Assessment Procedures

    3. Topics in Clustering and Classification

      1. Bruno Simeone, Maurizio Vichi
        Pages 170-181
      2. J. Lehel, F. R. McMorris, R. C. Powers
        Pages 187-190
      3. Roberta Siciliano, Francesco Mola
        Pages 191-198
      4. Vladimir Batagelj, Anuška Ferligoj, Patrick Doreian
        Pages 199-206
      5. Tomàs Aluja-Banet, Eduard Nafria
        Pages 207-214
      6. Tu Bao Ho, Trong Dung Nguyen, Masayuki Kimura
        Pages 215-222
      7. Francesco Mola, Roberta Siciliano
        Pages 223-230
      8. Hans-Joachim Mucha, Rainer Siegmund-Schultze, Karl Dübon
        Pages 231-238
  4. Classification and Discrimination

    1. Front Matter
      Pages 239-239
    2. Statistical Approaches for Classification Problems

      1. Jeffrey S. C. Pai, Wolfgang Polasek, Hideo Kozumi
        Pages 255-260
    3. Discrimination and Pattern Analysis

  5. Related Approaches for Classification

    1. Front Matter
      Pages 293-293
    2. Fuzzy and Probabilistic Modeling Methods

    3. Spatial Clustering and Neural Networks

      1. Yoshihiko Hamamoto, Toshinori Hase, Satoshi Nakai, Shingo Tomita
        Pages 328-333
      2. Akihiro Kanagawa, Hiroaki Kawabata, Hiromitsu Takahashi
        Pages 334-340
      3. M. Hernández-Pajares, J. M. Juan, J. Sanz
        Pages 341-352
    4. Symbolic and Conceptual Data Analysis

      1. Manabu Ichino, Hiroyuki Yaguchi
        Pages 358-369
      2. Marc Csernel, Francisco de A.T. de Carvalho
        Pages 379-386
      3. Stephen C. Hirtle, Guoray Cai
        Pages 394-403

About these proceedings

Introduction

This volume, Data Science, Classification, and Related Methods, contains a selection of papers presented at the Fifth Conference of the International Federation of Oassification Societies (IFCS-96), which was held in Kobe, Japan, from March 27 to 30,1996. The volume covers a wide range of topics and perspectives in the growing field of data science, including theoretical and methodological advances in domains relating to data gathering, classification and clustering, exploratory and multivariate data analysis, and knowledge discovery and seeking. It gives a broad view of the state of the art and is intended for those in the scientific community who either develop new data analysis methods or gather data and use search tools for analyzing and interpreting large and complex data sets. Presenting a wide field of applications, this book is of interest not only to data analysts, mathematicians, and statisticians but also to scientists from many areas and disciplines concerned with complex data: medicine, biology, space science, geoscience, environmental science, infonnation science, image and pattern analysis, economics, statistics, social sciences, psychology, cognitive science, behavioral science, marketing and survey research, data mining, and knowledge organization.

Keywords

calculus classification data analysis decision making multidimensional scaling

Editors and affiliations

  • Chikio Hayashi
    • 1
  • Keiji Yajima
    • 2
  • Hans-Hermann Bock
    • 3
  • Noboru Ohsumi
    • 1
  • Yutaka Tanaka
    • 4
  • Yasumasa Baba
    • 1
  1. 1.The Institute of Statistical MathematicsTokyo 106Japan
  2. 2.School of ManagementScience University of TokyoSaitama 346Japan
  3. 3.Institut für StatistikRheinisch-Westfälische Technische Hochschule (RWTH)AachenGermany
  4. 4.Faculty of Environmental Science & TechnologyOkayama UniversityOkayama 700Japan

Bibliographic information

  • DOI https://doi.org/10.1007/978-4-431-65950-1
  • Copyright Information Springer-Verlag Tokyo 1998
  • Publisher Name Springer, Tokyo
  • eBook Packages Springer Book Archive
  • Print ISBN 978-4-431-70208-5
  • Online ISBN 978-4-431-65950-1
  • Series Print ISSN 1431-8814
  • Buy this book on publisher's site