Overview
- Helps the reader to gather data and to use search tools for analyzing and interpreting large and complex data sets
- Presents a wide field of applications of interest not only to data analysts, mathematicians, and statisticians but also to scientists concerned with hard data in disciplines as diverse as medicine, biology, and space science
Part of the book series: Studies in Classification, Data Analysis, and Knowledge Organization (STUDIES CLASS)
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Keywords
Table of contents (85 papers)
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Case Studies of Data Science
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Social Science and Behavioral Science
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Management Science and Marketing Science
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Environmental, Ecological, Biological, and Medical Sciences
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Editors and Affiliations
Bibliographic Information
Book Title: Data Science, Classification, and Related Methods
Book Subtitle: Proceedings of the Fifth Conference of the International Federation of Classification Societies (IFCS-96), Kobe, Japan, March 27–30, 1996
Editors: Chikio Hayashi, Keiji Yajima, Hans-Hermann Bock, Noboru Ohsumi, Yutaka Tanaka, Yasumasa Baba
Series Title: Studies in Classification, Data Analysis, and Knowledge Organization
DOI: https://doi.org/10.1007/978-4-431-65950-1
Publisher: Springer Tokyo
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eBook Packages: Springer Book Archive
Copyright Information: Springer Japan 1998
Softcover ISBN: 978-4-431-70208-5Published: 01 March 1998
eBook ISBN: 978-4-431-65950-1Published: 11 November 2013
Series ISSN: 1431-8814
Series E-ISSN: 2198-3321
Edition Number: 1
Number of Pages: XV, 780
Number of Illustrations: 98 b/w illustrations
Topics: Statistics, general, Economic Theory/Quantitative Economics/Mathematical Methods, Data Structures