Keiji Yajima – författare

From the preface: "These proceedings contain 73 contributed papers selected from among those presented at the 13th IFIP Conference System Modelling and Optimization, Tokyo, Japan, August 31 - September 4, 1987, as well as 4 papers for the plenary sessions of the Conference. The aim of the conference was to discuss recent advances in the mathematical representation of engineering, sociotechnical, socioeconomic systems as well as in the optimization of their performances."

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.