Studies in Classification, Data Analysis, and Knowledge Organization

Advanced Studies in Classification and Data Science

Editors: Imaizumi, T., Okada, A., Miyamoto, S., Sakaori, F., Yamamoto, Y., Vichi, M. (Eds.)

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  • Focuses on analysis of device data in data science
  • Applies methods and techniques of data science to marketing science, economics, and related fields
  • Builds an interface between statistical methods and applications in data science
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  • ISBN 978-981-15-3311-2
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Softcover $219.99
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About this book

This edited volume focuses on the latest developments in classification and data science and covers a wide range of topics in the context of data analysis and related areas, e.g. the analysis of complex data, analysis of qualitative data, methods for high-dimensional data, dimensionality reduction, data visualization, multivariate statistical methods, and various applications to real data in the social sciences, medical sciences, and other disciplines.

In addition to sharing theoretical and methodological findings, the book shows how to apply the proposed methods to a variety of problems — e.g. in consumer behavior, decision-making, marketing data and social network structures. Both methodological aspects and applications to a wide range of areas such as economics, behavioral science, marketing science, management science and the social sciences are covered.

The book is chiefly intended for researchers and practitioners who are interested in the latest developments and practical applications in these fields, as well as applied statisticians and data analysts. Its combination of methodological advances with a wide range of real-world applications gathered from several fields makes it of unique value in helping readers solve their research problems.

About the authors

Tadashi Imaizumi, School of Management & Information Sciences, Tama University, Tokyo, Japan

Akinori Okada, Rikkyo University, Toshima-ku, Japan

Sadaaki Miyamoto, University of Tsukuba, Ibaraki, Japan

Fumitake Sakaori, Department of Mathematics, Chuo University, Tokyo, Japan

Yoshiro Yamamoto, Department of Mathematics, Tokai University, Kanagawa, Japan

Maurizio Vichi, Department of Statistical Sciences, Sapienza University of Rome, Roma RM, Italy

Table of contents (40 chapters)

Table of contents (40 chapters)
  • Multilevel Model-Based Clustering: A New Proposal of Maximum-A-Posteriori Assignment

    Pages 3-17

    Bacci, Silvia (et al.)

  • Multi-Criteria Classifications in Regional Development Modelling

    Pages 19-29

    Bal-Domańska, Beata

  • Non-parametric Latent Modeling and Network Clustering

    Pages 31-44

    Bavaud, François

  • Efficient, Geometrically Adaptive Techniques for Multiscale Gaussian-Kernel SVM Classification

    Pages 45-56

    Chen, Guangliang

  • Random Forests Followed by Computed ABC Analysis as a Feature Selection Method for Machine Learning in Biomedical Data

    Pages 57-69

    Lötsch, Jörn (et al.)

Buy this book

eBook $169.00
price for USA in USD
  • ISBN 978-981-15-3311-2
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • Immediate eBook download after purchase and usable on all devices
  • Bulk discounts available
Softcover $219.99
price for USA in USD
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Bibliographic Information

Bibliographic Information
Book Title
Advanced Studies in Classification and Data Science
Editors
  • Tadashi Imaizumi
  • Akinori Okada
  • Sadaaki Miyamoto
  • Fumitake Sakaori
  • Yoshiro Yamamoto
  • Maurizio Vichi
Series Title
Studies in Classification, Data Analysis, and Knowledge Organization
Copyright
2020
Publisher
Springer Singapore
Copyright Holder
Springer Nature Singapore Pte Ltd.
eBook ISBN
978-981-15-3311-2
DOI
10.1007/978-981-15-3311-2
Softcover ISBN
978-981-15-3310-5
Series ISSN
1431-8814
Edition Number
1
Number of Pages
XI, 524
Number of Illustrations
57 b/w illustrations, 64 illustrations in colour
Topics