Data Science, Classification, and Related Methods
Proceedings of the Fifth Conference of the International Federation of Classification Societies (IFCS-96), Kobe, Japan, March 27–30, 1996
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Beschreibung
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.
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
Autor*in
Chikio Hayashi
Themen in »Data Science, Classification, and Related Methods«
calculus classification data analysis decision making multidimensional scaling data structures