Data Science, Classification, and Related Methods (eBook, PDF)

Proceedings of the Fifth Conference of the International Federation of Classification Societies (IFCS-96), Kobe, Japan, March 27-30, 1996
Redaktion: Hayashi, Chikio; Baba, Yasumasa; Tanaka, Yutaka; Ohsumi, Noboru; Bock, Hans H.; Yajima, Keiji

• Format: PDF

Produktbeschreibung

This volume contains selected papers covering a wide range of topics, including theoretical and methodological advances relating to data gathering, classification and clustering, exploratory and multivariate data analysis, and knowledge seeking and discovery. The result is a broad view of the state of the art, making this an essential work not only for data analysts, mathematicians, and statisticians, but also for researchers involved in data processing at all stages from data gathering to decision making.

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Produktdetails

• Verlag: Springer Japan
• Seitenzahl: 780
• Erscheinungstermin: 11. November 2013
• Englisch
• ISBN-13: 9784431659501
• Artikelnr.: 44185333

Inhaltsangabe

General Aspects of Data Science.- Methodologies in Classification.- Classification and Discrimination.- Related Approaches for Classification.- Correspondence Analysis, Quantification Methods, and Multidimensional Scaling.- Multivariate and Multidimensional Data Analysis.- Case Studies of Data Science.