[PDF] Classification Data Analysis And Knowledge Organization eBook

Author : Hans-Hermann Bock
Publisher : Springer Science & Business Media
Page : 404 pages
File Size : 21,53 MB
Release : 2012-12-06
Category : Business & Economics
ISBN : 3642763073

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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.

Author : Edwin Diday
Publisher : Springer Science & Business Media
Page : 695 pages
File Size : 13,11 MB
Release : 2013-03-14
Category : Business & Economics
ISBN : 3642511759

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The subject of this book is the analysis and processing of structural or quantitative data with emphasis on classification methods, new algorithms as well as applications in various fields related to data analysis and classification. The book presents the state of the art in world-wide research and application of methods from the fields indicated above and consists of survey papers as well as research papers.

Author : Wolfgang A. Gaul
Publisher : Springer Science & Business Media
Page : 472 pages
File Size : 39,36 MB
Release : 2013-03-12
Category : Mathematics
ISBN : 364279999X

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The subject of this book is the incorporation and integration of mathematical and statistical techniques and information science topics into the field of classification, data analysis, and knowledge organization. Readers will find survey papers as well as research papers and reports on newest results. The papers are a combination of theoretical issues and applications in special fields: Spatial Data Analysis, Economics, Medicine, Biology, and Linguistics.

Author : Antonio Giusti
Publisher : Springer Science & Business Media
Page : 291 pages
File Size : 45,73 MB
Release : 2012-12-18
Category : Mathematics
ISBN : 3642288944

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​​​​​​​​​This volume contains both methodological papers showing new original methods, and papers on applications illustrating how new domain-specific knowledge can be made available from data by clever use of data analysis methods. The volume is subdivided in three parts: Classification and Data Analysis; Data Mining; and Applications. The selection of peer reviewed papers had been presented at a meeting of classification societies held in Florence, Italy, in the area of "Classification and Data Mining".​

Author : Krzystof Jajuga
Publisher : Springer Science & Business Media
Page : 468 pages
File Size : 49,53 MB
Release : 2012-12-06
Category : Computers
ISBN : 3642561810

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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.

Author : Myra Spiliopoulou
Publisher : Springer Science & Business Media
Page : 461 pages
File Size : 36,96 MB
Release : 2013-11-26
Category : Computers
ISBN : 3319015958

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Data analysis, machine learning and knowledge discovery are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as web and text mining, marketing, medicine, bioinformatics and business intelligence. This volume contains the revised versions of selected papers in the field of data analysis, machine learning and knowledge discovery presented during the 36th annual conference of the German Classification Society (GfKl). The conference was held at the University of Hildesheim (Germany) in August 2012. ​

Author : Berthold Lausen
Publisher : Springer Science & Business Media
Page : 532 pages
File Size : 23,73 MB
Release : 2013-08-28
Category : Computers
ISBN : 3319000357

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This volume provides approaches and solutions to challenges occurring at the interface of research fields such as, e.g., data analysis, data mining and knowledge discovery, computer science, operations research, and statistics. In addition to theory-oriented contributions various application areas are included. Moreover, traditional classification research directions concerning network data, graphs, and social relationships as well as statistical musicology describe examples for current interest fields tackled by the authors. The book comprises a total of 55 selected papers presented at the Joint Conference of the German Classification Society (GfKl), the German Association for Pattern Recognition (DAGM), and the Symposium of the International Federation of Classification Societies (IFCS) in 2011.​

Author : Henk A.L. Kiers
Publisher : Springer Science & Business Media
Page : 428 pages
File Size : 11,6 MB
Release : 2012-12-06
Category : Mathematics
ISBN : 3642597890

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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.

Author : Daniel Baier
Publisher : Springer Science & Business Media
Page : 632 pages
File Size : 38,69 MB
Release : 2004-11-19
Category : Language Arts & Disciplines
ISBN : 9783540232216

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The volume presents innovations in data analysis and classification and gives an overview of the state of the art in these scientific fields and applications. Areas that receive considerable attention in the book are discrimination and clustering, data analysis and statistics, as well as applications in marketing, finance, and medicine. The reader will find material on recent technical and methodological developments and a large number of applications demonstrating the usefulness of the newly developed techniques.