Data Science, Classification, and Related Methods (Studies in Classification, Data Analysis, and Knowledge Organization)

ISBN 10: 4431702083 / ISBN 13: 9784431702085

Verlag: Springer, 1998

Beschreibung

Like New.

Bestandsnummer des Verkäufers ERICA75844317020835

Bibliografische Details

• Titel: Data Science, Classification, and Related Methods (Studies in Classification, Data Analysis, and Knowledge Organization)
• Verlag: Springer
• Erscheinungsjahr: 1998
• Sprache: Englisch
• ISBN-10: 4431702083
• ISBN-13: 9784431702085
• Einband: Paperback
• Zustand: Like New
• Buchtyp: book

Über diesen Titel

Inhaltsangabe

This volume, Data Science, Classification, and Related Methods, contains a selection of papers presented at the Fifth Conference of the International Federation of Oassification Societies (IFCS-96), which was held in Kobe, Japan, from March 27 to 30,1996. The volume covers a wide range of topics and perspectives in the growing field of data science, including theoretical and methodological advances in domains relating to data gathering, classification and clustering, exploratory and multivariate data analysis, and knowledge discovery and seeking. It gives a broad view of the state of the art and is intended for those in the scientific community who either develop new data analysis methods or gather data and use search tools for analyzing and interpreting large and complex data sets. Presenting a wide field of applications, this book is of interest not only to data analysts, mathematicians, and statisticians but also to scientists from many areas and disciplines concerned with complex data: medicine, biology, space science, geoscience, environmental science, infonnation science, image and pattern analysis, economics, statistics, social sciences, psychology, cognitive science, behavioral science, marketing and survey research, data mining, and knowledge organization.

Reseña del editor

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.