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.
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Paperback. Condition: new. Paperback. This is the proceedings of the Fifth Conference of the International Federation of Classification Societies held in Kobe, Japan, on March 27-30, 1996: The astounding increase in computer usage over the past decade and the ever-increasing scope of global communication networks have ushered in the information age; however, human intelligence is required to make sense of this sea of data and to use it effectively. Consequently, the rapidly developing cross-disciplinary field of data science has come of age. This volume contains selected papers from the Fifth Conference of the International Federation of Classification Societies (IFCS-96), held in Kobe, Japan, in March 1996. A wide range of topics is covered, including theoretical and methodological advances relating to data gathering, classification and clustering, exploratory and multivariate data analysis, and knowledge seeking and discovery. A broad view of the state of the art is presented, 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9784431702085
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