Classification And Data Analysis
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Classification and Data Analysis
Author | : Krzysztof Jajuga,Jacek Batóg,Marek Walesiak |
Publsiher | : Springer Nature |
Total Pages | : 334 |
Release | : 2020-08-28 |
Genre | : Business & Economics |
ISBN | : 9783030523480 |
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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
Author | : Henk A.L. Kiers,Jean-Paul Rasson,Patrick J.F. Groenen,Martin Schader |
Publsiher | : Springer Science & Business Media |
Total Pages | : 428 |
Release | : 2012-12-06 |
Genre | : Mathematics |
ISBN | : 9783642597893 |
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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.
Classification Data Analysis and Knowledge Organization
Author | : Hans-Hermann Bock,Peter Ihm |
Publsiher | : Springer Science & Business Media |
Total Pages | : 404 |
Release | : 2012-12-06 |
Genre | : Business & Economics |
ISBN | : 9783642763076 |
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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.
New Approaches in Classification and Data Analysis
Author | : Edwin Diday,Yves Lechevallier,Martin Schader,Patrice Bertrand,Bernard Burtschy |
Publsiher | : Springer Science & Business Media |
Total Pages | : 695 |
Release | : 2013-03-14 |
Genre | : Business & Economics |
ISBN | : 9783642511752 |
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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.
Classification Data Analysis and Data Highways
Author | : Ingo Balderjahn,Rudolf Mathar,Martin Schader |
Publsiher | : Springer Science & Business Media |
Total Pages | : 416 |
Release | : 2013-03-12 |
Genre | : Business & Economics |
ISBN | : 9783642720871 |
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This volume presents 43 articles dealing with models and methods of data analysis and classification, statistics and stochastics, information systems and WWW- and Internet-related topics as well as many applications. These articles are selected from more than 100 papers presented at the 21st Annual Conference of the Gesellschaft für Klassifikation. Based on the submitted and revised papers six sections have been arranged: - Classification and Data Analysis - Mathematical and Statistical Methods - World Wide Web and the Internet - Speech and Pattern Recognition - Marketing.
Classification Clustering and Data Analysis
Author | : Krzystof Jajuga,Andrzej Sokolowski,Hans-Hermann Bock |
Publsiher | : Springer Science & Business Media |
Total Pages | : 468 |
Release | : 2012-12-06 |
Genre | : Computers |
ISBN | : 9783642561818 |
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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.
Classification big Data Analysis and Statistical Learning
Author | : Francesco Mola,Claudio Conversano,Maurizio Vichi |
Publsiher | : Unknown |
Total Pages | : 242 |
Release | : 2018 |
Genre | : Mathematical statistics |
ISBN | : 3319557092 |
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This edited book focuses on the latest developments in classification, statistical learning, data analysis and related areas of data science, including statistical analysis of large datasets, big data analytics, time series clustering, integration of data from different sources, as well as social networks. It covers both methodological aspects as well as applications to a wide range of areas such as economics, marketing, education, social sciences, medicine, environmental sciences and the pharmaceutical industry. In addition, it describes the basic features of the software behind the data analysis results, and provides links to the corresponding codes and data sets where necessary. This book is intended for researchers and practitioners who are interested in the latest developments and applications in the field. The peer-reviewed contributions were presented at the 10th Scientific Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, held in Santa Margherita di Pula (Cagliari), Italy, October 8-10, 2015.
Data Analysis Machine Learning and Knowledge Discovery
Author | : Myra Spiliopoulou,Lars Schmidt-Thieme,Ruth Janning |
Publsiher | : Springer Science & Business Media |
Total Pages | : 470 |
Release | : 2013-11-26 |
Genre | : Computers |
ISBN | : 9783319015958 |
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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.