Data Analysis And Classification

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Classification and Data Analysis

Author : Krzysztof Jajuga
Publisher : Springer Nature
ISBN 13 : 3030523489
Total Pages : 334 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Classification and Data Analysis by : Krzysztof Jajuga

Download or read book Classification and Data Analysis written by Krzysztof Jajuga and published by Springer Nature. This book was released on 2020-08-28 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Publisher : Springer Science & Business Media
ISBN 13 : 3642597890
Total Pages : 428 pages
Book Rating : 4.6/5 (425 download)

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Book Synopsis Data Analysis, Classification, and Related Methods by : Henk A.L. Kiers

Download or read book Data Analysis, Classification, and Related Methods written by Henk A.L. Kiers and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Publisher : Springer Science & Business Media
ISBN 13 : 3642763073
Total Pages : 404 pages
Book Rating : 4.6/5 (427 download)

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Book Synopsis Classification, Data Analysis, and Knowledge Organization by : Hans-Hermann Bock

Download or read book Classification, Data Analysis, and Knowledge Organization written by Hans-Hermann Bock and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Science and Classification

Author : International Federation of Classification Societies. Conference
Publisher : Springer
ISBN 13 : 9786610627370
Total Pages : 0 pages
Book Rating : 4.6/5 (273 download)

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Book Synopsis Data Science and Classification by : International Federation of Classification Societies. Conference

Download or read book Data Science and Classification written by International Federation of Classification Societies. Conference and published by Springer. This book was released on 2006 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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, Clustering, and Data Analysis

Author : Krzystof Jajuga
Publisher : Springer Science & Business Media
ISBN 13 : 3642561810
Total Pages : 468 pages
Book Rating : 4.6/5 (425 download)

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Book Synopsis Classification, Clustering, and Data Analysis by : Krzystof Jajuga

Download or read book Classification, Clustering, and Data Analysis written by Krzystof Jajuga and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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, Machine Learning and Knowledge Discovery

Author : Myra Spiliopoulou
Publisher : Springer Science & Business Media
ISBN 13 : 3319015958
Total Pages : 470 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Data Analysis, Machine Learning and Knowledge Discovery by : Myra Spiliopoulou

Download or read book Data Analysis, Machine Learning and Knowledge Discovery written by Myra Spiliopoulou and published by Springer Science & Business Media. This book was released on 2013-11-26 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Data Science, Classification, and Related Methods

Author : Chikio Hayashi
Publisher : Springer Science & Business Media
ISBN 13 : 4431659501
Total Pages : 780 pages
Book Rating : 4.4/5 (316 download)

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Book Synopsis Data Science, Classification, and Related Methods by : Chikio Hayashi

Download or read book Data Science, Classification, and Related Methods written by Chikio Hayashi and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 780 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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, (big) Data Analysis and Statistical Learning

Author : Francesco Mola
Publisher :
ISBN 13 : 9783319557090
Total Pages : 242 pages
Book Rating : 4.5/5 (57 download)

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Book Synopsis Classification, (big) Data Analysis and Statistical Learning by : Francesco Mola

Download or read book Classification, (big) Data Analysis and Statistical Learning written by Francesco Mola and published by . This book was released on 2018 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Model-Based Clustering and Classification for Data Science

Author : Charles Bouveyron
Publisher : Cambridge University Press
ISBN 13 : 1108640591
Total Pages : 447 pages
Book Rating : 4.1/5 (86 download)

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Book Synopsis Model-Based Clustering and Classification for Data Science by : Charles Bouveyron

Download or read book Model-Based Clustering and Classification for Data Science written by Charles Bouveyron and published by Cambridge University Press. This book was released on 2019-07-25 with total page 447 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cluster analysis finds groups in data automatically. Most methods have been heuristic and leave open such central questions as: how many clusters are there? Which method should I use? How should I handle outliers? Classification assigns new observations to groups given previously classified observations, and also has open questions about parameter tuning, robustness and uncertainty assessment. This book frames cluster analysis and classification in terms of statistical models, thus yielding principled estimation, testing and prediction methods, and sound answers to the central questions. It builds the basic ideas in an accessible but rigorous way, with extensive data examples and R code; describes modern approaches to high-dimensional data and networks; and explains such recent advances as Bayesian regularization, non-Gaussian model-based clustering, cluster merging, variable selection, semi-supervised and robust classification, clustering of functional data, text and images, and co-clustering. Written for advanced undergraduates in data science, as well as researchers and practitioners, it assumes basic knowledge of multivariate calculus, linear algebra, probability and statistics.

Data Analysis and Classification

Author : Krzysztof Jajuga
Publisher : Springer Nature
ISBN 13 : 3030751902
Total Pages : 352 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Data Analysis and Classification by : Krzysztof Jajuga

Download or read book Data Analysis and Classification written by Krzysztof Jajuga and published by Springer Nature. This book was released on 2021-06-28 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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, Data Analysis, and Data Highways

Author : Ingo Balderjahn
Publisher : Springer Science & Business Media
ISBN 13 : 3642720870
Total Pages : 416 pages
Book Rating : 4.6/5 (427 download)

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Book Synopsis Classification, Data Analysis, and Data Highways by : Ingo Balderjahn

Download or read book Classification, Data Analysis, and Data Highways written by Ingo Balderjahn and published by Springer Science & Business Media. This book was released on 2013-03-12 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Innovations in Classification, Data Science, and Information Systems

Author : Daniel Baier
Publisher : Springer Science & Business Media
ISBN 13 : 3540269819
Total Pages : 620 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Innovations in Classification, Data Science, and Information Systems by : Daniel Baier

Download or read book Innovations in Classification, Data Science, and Information Systems written by Daniel Baier and published by Springer Science & Business Media. This book was released on 2006-06-06 with total page 620 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Classification and Data Mining

Author : Antonio Giusti
Publisher : Springer Science & Business Media
ISBN 13 : 3642288944
Total Pages : 291 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Classification and Data Mining by : Antonio Giusti

Download or read book Classification and Data Mining written by Antonio Giusti and published by Springer Science & Business Media. This book was released on 2012-12-18 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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".

Data Analysis, Machine Learning and Applications

Author : Christine Preisach
Publisher : Springer Science & Business Media
ISBN 13 : 354078246X
Total Pages : 714 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Data Analysis, Machine Learning and Applications by : Christine Preisach

Download or read book Data Analysis, Machine Learning and Applications written by Christine Preisach and published by Springer Science & Business Media. This book was released on 2008-04-13 with total page 714 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data analysis and machine learning 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, medical science, bioinformatics and business intelligence. This volume contains the revised versions of selected papers in the field of data analysis, machine learning and applications presented during the 31st Annual Conference of the German Classification Society (Gesellschaft für Klassifikation - GfKl). The conference was held at the Albert-Ludwigs-University in Freiburg, Germany, in March 2007.

Data Analysis, Classification and the Forward Search

Author : Sergio Zani
Publisher : Springer Science & Business Media
ISBN 13 : 3540359788
Total Pages : 420 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Data Analysis, Classification and the Forward Search by : Sergio Zani

Download or read book Data Analysis, Classification and the Forward Search written by Sergio Zani and published by Springer Science & Business Media. This book was released on 2007-08-06 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents new developments in data analysis, classification and multivariate statistics, and in their algorithmic implementation. The volume offers contributions to the theory of clustering and discrimination, multidimensional data analysis, data mining, and robust statistics with a special emphasis on the novel Forward Search approach. Many papers provide significant insight in a wide range of fields of application. Customer satisfaction and service evaluation are two examples of such emerging fields.

Data Classification

Author : Charu C. Aggarwal
Publisher : CRC Press
ISBN 13 : 1498760589
Total Pages : 710 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Data Classification by : Charu C. Aggarwal

Download or read book Data Classification written by Charu C. Aggarwal and published by CRC Press. This book was released on 2014-07-25 with total page 710 pages. Available in PDF, EPUB and Kindle. Book excerpt: Comprehensive Coverage of the Entire Area of ClassificationResearch on the problem of classification tends to be fragmented across such areas as pattern recognition, database, data mining, and machine learning. Addressing the work of these different communities in a unified way, Data Classification: Algorithms and Applications explores the underlyi

Classification, Clustering, and Data Mining Applications

Author : International Federation of Classification Societies. Conference
Publisher : Springer Science & Business Media
ISBN 13 : 3540220143
Total Pages : 676 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Classification, Clustering, and Data Mining Applications by : International Federation of Classification Societies. Conference

Download or read book Classification, Clustering, and Data Mining Applications written by International Federation of Classification Societies. Conference and published by Springer Science & Business Media. This book was released on 2004-06-09 with total page 676 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern data analysis stands at the interface of statistics, computer science, and discrete mathematics. This volume describes new methods in this area, with special emphasis on classification and cluster analysis. Those methods are applied to problems in information retrieval, phylogeny, medical diagnosis, microarrays, and other active research areas.