New Approaches in Classification and Data Analysis

New Approaches in Classification and Data Analysis
Author: Edwin Diday
Publisher: Springer Science & Business Media
Total Pages: 695
Release: 2013-03-14
Genre: 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.

Classification, Data Analysis, and Knowledge Organization

Classification, Data Analysis, and Knowledge Organization
Author: Hans-Hermann Bock
Publisher: Springer Science & Business Media
Total Pages: 404
Release: 2012-12-06
Genre: 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.

Data Analysis, Classification, and Related Methods

Data Analysis, Classification, and Related Methods
Author: Henk A.L. Kiers
Publisher: Springer Science & Business Media
Total Pages: 428
Release: 2012-12-06
Genre: 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.

Data Science

Data Science
Author: Francesco Palumbo
Publisher: Springer
Total Pages: 346
Release: 2017-07-04
Genre: Mathematics
ISBN: 3319557238

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This edited volume on the latest advances in data science covers a wide range of topics in the context of data analysis and classification. In particular, it includes contributions on classification methods for high-dimensional data, clustering methods, multivariate statistical methods, and various applications. The book gathers a selection of peer-reviewed contributions presented at the Fifteenth Conference of the International Federation of Classification Societies (IFCS2015), which was hosted by the Alma Mater Studiorum, University of Bologna, from July 5 to 8, 2015.

Classification, Clustering, and Data Analysis

Classification, Clustering, and Data Analysis
Author: Krzystof Jajuga
Publisher: Springer Science & Business Media
Total Pages: 468
Release: 2012-12-06
Genre: 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.

Advances in Data Analysis

Advances in Data Analysis
Author: Reinhold Decker
Publisher: Springer Science & Business Media
Total Pages: 689
Release: 2007-03-24
Genre: Computers
ISBN: 3540709819

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This book focuses on exploratory data analysis, learning of latent structures in datasets, and unscrambling of knowledge. Coverage details a broad range of methods from multivariate statistics, clustering and classification, visualization and scaling as well as from data and time series analysis. It provides new approaches for information retrieval and data mining and reports a host of challenging applications in various fields.

Data Analysis

Data Analysis
Author: Wolfgang A. Gaul
Publisher: Springer Science & Business Media
Total Pages: 517
Release: 2012-12-06
Genre: Business & Economics
ISBN: 3642582508

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"Data Analysis" in the broadest sense is the general term for a field of activities of ever-increasing importance in a time called the information age. It covers new areas with such trendy labels as, e.g., data mining or web mining as well as traditional directions emphazising, e.g., classification or knowledge organization. Leading researchers in data analysis have contributed to this volume and delivered papers on aspects ranging from scientific modeling to practical application. They have devoted their latest contributions to a book edited to honor a colleague and friend, Hans-Hermann Bock, who has been active in this field for nearly thirty years.

New Developments in Classification and Data Analysis

New Developments in Classification and Data Analysis
Author: Maurizio Vichi
Publisher: Springer Science & Business Media
Total Pages: 372
Release: 2006-05-06
Genre: Business & Economics
ISBN: 3540273735

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This volume contains revised versions of selected papers presented during the biannual meeting of the Classification and Data Analysis Group of SocietA Italiana di Statistica, which was held in Bologna, September 22-24, 2003. The scientific program of the conference included 80 contributed papers. Moreover it was possible to recruit six internationally renowned invited spe- ers for plenary talks on their current research works regarding the core topics of IFCS (the International Federation of Classification Societies) and Wo- gang Gaul and the colleagues of the GfKl organized a session. Thus, the conference provided a large number of scientists and experts from home and abroad with an attractive forum for discussions and mutual exchange of knowledge. The talks in the different sessions focused on methodological developments in supervised and unsupervised classification and in data analysis, also p- viding relevant contributions in the context of applications. This suggested the presentation of the 43 selected papers in three parts as follows: CLASSIFICATION AND CLUSTERING Non parametric classification Clustering and dissimilarities MULTIVARIATE STATISTICS AND DATA ANALYSIS APPLIED MULTIVARIATE STATISTICS Environmental data Microarray data Behavioural and text data Financial data We wish to express our gratitude to the authors whose enthusiastic p- ticipation made the meeting possible. We are very grateful to the reviewers for the time spent in their professional reviewing work. We would also like to extend our thanks to the chairpersons and discussants of the sessions: their comments and suggestions proved very stimulating both for the authors and the audience.

Data Science, Classification, and Related Methods

Data Science, Classification, and Related Methods
Author: Chikio Hayashi
Publisher: Springer Science & Business Media
Total Pages: 786
Release: 2013-11-11
Genre: Mathematics
ISBN: 4431659501

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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.

New Approaches to Classification and Diagnostic Prediction of Breast Cancers

New Approaches to Classification and Diagnostic Prediction of Breast Cancers
Author: Aleix Prat
Publisher: Frontiers Media SA
Total Pages: 187
Release: 2020-06-16
Genre:
ISBN: 2889637964

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Despite many years of translational research in breast cancer, very few new biomarkers have been implemented for clinical use beyond estrogen receptor, progesterone receptor, and HER2. The main reason is that many promising biomarkers are clinically validated but lack analytical and clinical utility. One explanation is that proper validation of the predictive ability of the biomarker in independent datasets, and with a pre-planned statistical analysis, is not always performed. Thus, there is a need to identify new biomarkers or new ways to subclassify breast cancer patients that are reproducible and easy to implement in the clinical setting but, more importantly, that improve patient’s outcomes.