Classification, Data Analysis, and Knowledge Organization - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Classification, Data Analysis, and Knowledge Organization write by Hans-Hermann Bock. This book was released on 2012-12-06. Classification, Data Analysis, and Knowledge Organization available in PDF, EPUB and Kindle. In science, industry, public administration and documentation centers large amounts of data and information are collected which must be analyzed, ordered, visualized, classified and stored efficiently in order to be useful for practical applications. This volume contains 50 selected theoretical and applied papers presenting a wealth of new and innovative ideas, methods, models and systems which can be used for this purpose. It combines papers and strategies from two main streams of research in an interdisciplinary, dynamic and exciting way: On the one hand, mathematical and statistical methods are described which allow a quantitative analysis of data, provide strategies for classifying objects or making exploratory searches for interesting structures, and give ways to make comprehensive graphical displays of large arrays of data. On the other hand, papers related to information sciences, informatics and data bank systems provide powerful tools for representing, modelling, storing and retrieving facts, data and knowledge characterized by qualitative descriptors, semantic relations, or linguistic concepts. The integration of both fields and a special part on applied problems from biology, medicine, archeology, industry and administration assure that this volume will be informative and useful for theory and practice.
Classification and Data Analysis
Classification and Data Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Classification and Data Analysis write by Krzysztof Jajuga. This book was released on 2020-08-28. Classification and Data Analysis available in PDF, EPUB and Kindle. This volume gathers peer-reviewed contributions on data analysis, classification and related areas presented at the 28th Conference of the Section on Classification and Data Analysis of the Polish Statistical Association, SKAD 2019, held in Szczecin, Poland, on September 18–20, 2019. Providing a balance between theoretical and methodological contributions and empirical papers, it covers a broad variety of topics, ranging from multivariate data analysis, classification and regression, symbolic (and other) data analysis, visualization, data mining, and computer methods to composite measures, and numerous applications of data analysis methods in economics, finance and other social sciences. The book is intended for a wide audience, including researchers at universities and research institutions, graduate and doctoral students, practitioners, data scientists and employees in public statistical institutions.
Data Analysis, Classification, and Related Methods
Data Analysis, Classification, and Related Methods - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Analysis, Classification, and Related Methods write by Henk A.L. Kiers. This book was released on 2012-12-06. Data Analysis, Classification, and Related Methods available in PDF, EPUB and Kindle. This volume contains a selection of papers presented at the Seven~h Confer ence of the International Federation of Classification Societies (IFCS-2000), which was held in Namur, Belgium, July 11-14,2000. From the originally sub mitted papers, a careful review process involving two reviewers per paper, led to the selection of 65 papers that were considered suitable for publication in this book. The present book contains original research contributions, innovative ap plications and overview papers in various fields within data analysis, classifi cation, and related methods. Given the fast publication process, the research results are still up-to-date and coincide with their actual presentation at the IFCS-2000 conference. The topics captured are: • Cluster analysis • Comparison of clusterings • Fuzzy clustering • Discriminant analysis • Mixture models • Analysis of relationships data • Symbolic data analysis • Regression trees • Data mining and neural networks • Pattern recognition • Multivariate data analysis • Robust data analysis • Data science and sampling The IFCS (International Federation of Classification Societies) The IFCS promotes the dissemination of technical and scientific information data analysis, classification, related methods, and their applica concerning tions.
The Analysis of Cross-Classified Categorical Data
The Analysis of Cross-Classified Categorical Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The Analysis of Cross-Classified Categorical Data write by Stephen E. Fienberg. This book was released on 2007-08-06. The Analysis of Cross-Classified Categorical Data available in PDF, EPUB and Kindle. A variety of biological and social science data come in the form of cross-classified tables of counts, commonly referred to as contingency tables. Until recent years the statistical and computational techniques available for the analysis of cross-classified data were quite limited. This book presents some of the recent work on the statistical analysis of cross-classified data using longlinear models, especially in the multidimensional situation.
Classification, Clustering, and Data Analysis
Classification, Clustering, and Data Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Classification, Clustering, and Data Analysis write by Krzystof Jajuga. This book was released on 2012-12-06. Classification, Clustering, and Data Analysis available in PDF, EPUB and Kindle. The book presents a long list of useful methods for classification, clustering and data analysis. By combining theoretical aspects with practical problems, it is designed for researchers as well as for applied statisticians and will support the fast transfer of new methodological advances to a wide range of applications.
