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Data Analysis, Classification, and Related Methods

Data Analysis, Classification, and Related Methods PDF Author: Henk A.L. Kiers
Publisher: Springer Science & Business Media
ISBN: 3642597890
Category : Mathematics
Languages : en
Pages : 428

Book Description
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.

Data Analysis, Classification, and Related Methods

Data Analysis, Classification, and Related Methods PDF Author: Henk A.L. Kiers
Publisher: Springer Science & Business Media
ISBN: 3642597890
Category : Mathematics
Languages : en
Pages : 428

Book Description
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.

Data Science, Classification, and Related Methods

Data Science, Classification, and Related Methods PDF Author: Chikio Hayashi
Publisher: Springer Science & Business Media
ISBN: 4431659501
Category : Mathematics
Languages : en
Pages : 786

Book Description
This volume contains 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. The result is a broad view of the state of the art, 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.

Classification, Data Analysis, and Knowledge Organization

Classification, Data Analysis, and Knowledge Organization PDF Author: Hans-Hermann Bock
Publisher: Springer Science & Business Media
ISBN: 3642763073
Category : Business & Economics
Languages : en
Pages : 404

Book Description
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.

New Approaches in Classification and Data Analysis

New Approaches in Classification and Data Analysis PDF Author: Edwin Diday
Publisher: Springer Science & Business Media
ISBN: 3642511759
Category : Business & Economics
Languages : en
Pages : 695

Book Description
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.

Classification and Data Analysis

Classification and Data Analysis PDF Author: Krzysztof Jajuga
Publisher: Springer Nature
ISBN: 3030523489
Category : Business & Economics
Languages : en
Pages : 334

Book Description
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.

Classification, Clustering, and Data Analysis

Classification, Clustering, and Data Analysis PDF Author: Krzystof Jajuga
Publisher: Springer Science & Business Media
ISBN: 3642561810
Category : Computers
Languages : en
Pages : 468

Book Description
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.

Data Analysis and Classification

Data Analysis and Classification PDF Author: Krzysztof Jajuga
Publisher: Springer Nature
ISBN: 3030751902
Category : Business & Economics
Languages : en
Pages : 352

Book Description
This volume gathers peer-reviewed contributions that address a wide range of recent developments in the methodology and applications of data analysis and classification tools in micro and macroeconomic problems. The papers were originally presented at the 29th Conference of the Section on Classification and Data Analysis of the Polish Statistical Association, SKAD 2020, held in Sopot, Poland, September 7–9, 2020. Providing a balance between methodological contributions and empirical papers, the book is divided into five parts focusing on methodology, finance, economics, social issues and applications dealing with COVID-19 data. It is aimed at a wide audience, including researchers at universities and research institutions, graduate and doctoral students, practitioners, data scientists and employees in public statistical institutions.

Classification and related methods of data analysis

Classification and related methods of data analysis PDF Author: Conference of the International federation of classification societies
Publisher:
ISBN:
Category :
Languages : en
Pages : 190

Book Description


Data Science and Classification

Data Science and Classification PDF Author: International Federation of Classification Societies. Conference
Publisher: Springer
ISBN: 9786610627370
Category : Cluster analysis
Languages : en
Pages : 0

Book Description
Provides methodological developments in data analysis and classification. Apart from structural and theoretical results, this book, of value to researchers, shows how to apply the developments to a variety of problems, for example, in medicine, microarray analysis, social network structures, and music.

Classification and Related Methods of Data Analysis : Proceedings of the First Conference of the International Federation of C.

Classification and Related Methods of Data Analysis : Proceedings of the First Conference of the International Federation of C. PDF Author: International Federation of Classification Societies
Publisher:
ISBN:
Category : Cluster analysis
Languages : en
Pages :

Book Description