Advanced Studies in Classification and Data Science

Tadashi Imaizumi (u. a.)

ISBN 10: 9811533105 / ISBN 13: 9789811533105

Published by Springer, 2020

About this Item

Advanced Studies in Classification and Data Science | Tadashi Imaizumi (u. a.) | Taschenbuch | xi | Englisch | 2020 | Springer | EAN 9789811533105 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.

Seller Inventory # 117945423

Bibliographic Details

• Title: Advanced Studies in Classification and Data Science
• Publisher: Springer
• Publication Date: 2020
• Language: English
• ISBN 10: 9811533105
• ISBN 13: 9789811533105
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 29D millimeters 235 millimeters width by 155 millimeters height by 29 millimeters depth
• Weight: 803 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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 Author

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