Advanced Studies in Classification and Data Science

Resource Information

The work Advanced Studies in Classification and Data Science represents a distinct intellectual or artistic creation found in European University Institute. This resource is a combination of several types including: Work, Language Material, Books.

Label

Advanced Studies in Classification and Data Science

Statement of responsibility

edited by Tadashi Imaizumi, Akinori Okada, Sadaaki Miyamoto, Fumitake Sakaori, Yoshiro Yamamoto, Maurizio Vichi

Contributor

• Sakaori, Fumitake
• Vichi, Maurizio
• Miyamoto, Sadaaki
• Imaizumi, Tadashi
• Yamamoto, Yoshiro
• Okada, Akinori

Editor

• Miyamoto, Sadaaki
• Imaizumi, Tadashi
• Okada, Akinori
• Sakaori, Fumitake
• Vichi, Maurizio
• Yamamoto, Yoshiro

Subject

• Mathematics
• Motivation research (Marketing)
• Social sciences
• Social sciences—Computer programs
• Social sciences—Data processing
• Statistics
• Visualization

Language

eng

Summary

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.--

Member of

• Studies in Classification, Data Analysis, and Knowledge Organization,

Assigning source

Provided by publisher

Image bit depth

0

Literary form

non fiction

Nature of contents

dictionaries

Series statement

• Studies in Classification, Data Analysis, and Knowledge Organization,
• Springer eBooks.