Modern Classification And Data Analysis

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Modern Classification and Data Analysis

Krzysztof Jajuga,Grażyna Dehnel,Marek Walesiak
Modern Classification and Data Analysis Book PDF

Author : Krzysztof Jajuga,Grażyna Dehnel,Marek Walesiak
Publisher : Springer Nature
Page : 381 pages
File Size : 54,9 Mb
Release : 2022-10-16
Category : Business & Economics
ISBN : 9783031101908

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Modern Classification and Data Analysis by Krzysztof Jajuga,Grażyna Dehnel,Marek Walesiak Pdf

This volume presents a selection of peer-reviewed papers that address the latest developments in the methodology and applications of data analysis and classification tools to micro- and macroeconomic problems. The contributions were originally presented at the 30th Conference of the Section on Classification and Data Analysis of the Polish Statistical Association, SKAD 2021, held online in Poznań, Poland, September 8–10, 2021. Providing a balance between methodological and empirical studies, and covering a wide range of topics, the book is divided into five parts focusing on methods and applications in finance, economics, social issues and to COVID-19 data. The book is aimed at a wide audience, including researchers at universities and research institutions, PhD students, as well as practitioners, data scientists and employees in public statistical institutions.

Statistical Learning and Modeling in Data Analysis

Simona Balzano,Giovanni C. Porzio,Renato Salvatore,Domenico Vistocco,Maurizio Vichi
Statistical Learning and Modeling in Data Analysis Book PDF

Author : Simona Balzano,Giovanni C. Porzio,Renato Salvatore,Domenico Vistocco,Maurizio Vichi
Publisher : Springer Nature
Page : 182 pages
File Size : 40,9 Mb
Release : 2021-07-13
Category : Mathematics
ISBN : 9783030699444

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Statistical Learning and Modeling in Data Analysis by Simona Balzano,Giovanni C. Porzio,Renato Salvatore,Domenico Vistocco,Maurizio Vichi Pdf

The contributions gathered in this book focus on modern methods for statistical learning and modeling in data analysis and present a series of engaging real-world applications. The book covers numerous research topics, ranging from statistical inference and modeling to clustering and factorial methods, from directional data analysis to time series analysis and small area estimation. The applications reflect new analyses in a variety of fields, including medicine, finance, engineering, marketing and cyber risk. The book gathers selected and peer-reviewed contributions presented at the 12th Scientific Meeting of the Classification and Data Analysis Group of the Italian Statistical Society (CLADAG 2019), held in Cassino, Italy, on September 11–13, 2019. CLADAG promotes advanced methodological research in multivariate statistics with a special focus on data analysis and classification, and supports the exchange and dissemination of ideas, methodological concepts, numerical methods, algorithms, and computational and applied results. This book, true to CLADAG’s goals, is intended for researchers and practitioners who are interested in the latest developments and applications in the field of data analysis and classification.

Data Analysis and Classification

Francesco Palumbo,Carlo Natale Lauro,Michael Greenacre
Data Analysis and Classification Book PDF

Author : Francesco Palumbo,Carlo Natale Lauro,Michael Greenacre
Publisher : Springer Science & Business Media
Page : 482 pages
File Size : 49,9 Mb
Release : 2010-03-14
Category : Mathematics
ISBN : 9783642037399

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Data Analysis and Classification by Francesco Palumbo,Carlo Natale Lauro,Michael Greenacre Pdf

The volume provides results from the latest methodological developments in data analysis and classification and highlights new emerging subjects within the field. It contains articles about statistical models, classification, cluster analysis, multidimensional scaling, multivariate analysis, latent variables, knowledge extraction from temporal data, financial and economic applications, and missing values. Papers cover both theoretical and empirical aspects.

Classification and Data Analysis

Krzysztof Jajuga,Jacek Batóg,Marek Walesiak
Classification and Data Analysis Book PDF

Author : Krzysztof Jajuga,Jacek Batóg,Marek Walesiak
Publisher : Springer Nature
Page : 334 pages
File Size : 47,9 Mb
Release : 2020-08-28
Category : Business & Economics
ISBN : 9783030523480

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Classification and Data Analysis by Krzysztof Jajuga,Jacek Batóg,Marek Walesiak Pdf

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, (Big) Data Analysis and Statistical Learning

Francesco Mola,Claudio Conversano,Maurizio Vichi
Classification Big Data Analysis and Statistical Learning Book PDF

Author : Francesco Mola,Claudio Conversano,Maurizio Vichi
Publisher : Springer
Page : 242 pages
File Size : 50,9 Mb
Release : 2018-02-21
Category : Mathematics
ISBN : 9783319557083

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Classification, (Big) Data Analysis and Statistical Learning by Francesco Mola,Claudio Conversano,Maurizio Vichi Pdf

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.

New Developments in Classification and Data Analysis

Maurizio Vichi
New Developments in Classification and Data Analysis Book PDF

Author : Maurizio Vichi
Publisher : Springer Science & Business Media
Page : 388 pages
File Size : 50,5 Mb
Release : 2005-02-22
Category : Business & Economics
ISBN : 3540238093

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New Developments in Classification and Data Analysis by Maurizio Vichi Pdf

The volume presents new developments in data analysis and classification. Particular attention is devoted to clustering, discrimination, data analysis and statistics, as well as applications in biology, finance and social sciences. The reader will find theory and algorithms on recent technical and methodological developments and many application papers showing the empirical usefulness of the newly developed solutions.

Classification and Data Analysis

Classification Group of SIS. Meeting,Maurizio Vichi,Otto Opitz
Classification and Data Analysis Book PDF

Author : Classification Group of SIS. Meeting,Maurizio Vichi,Otto Opitz
Publisher : Springer
Page : 390 pages
File Size : 40,8 Mb
Release : 1999-04-15
Category : Business & Economics
ISBN : UOM:39015047590404

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Classification and Data Analysis by Classification Group of SIS. Meeting,Maurizio Vichi,Otto Opitz Pdf

The book provides new developments in classification, data analysis and multidimensional methods, topics which are of central interest to modern Statistics. A wide range of topics is considered including methodologies in classification, fuzzy clustering, discrimination, regression tree, neural networks, proximity methodologies, factorial methods, spatial analysis, multiway and multivariate analysis.

Data Analysis and Classification

Krzysztof Jajuga,Krzysztof Najman,Marek Walesiak
Data Analysis and Classification Book PDF

Author : Krzysztof Jajuga,Krzysztof Najman,Marek Walesiak
Publisher : Springer Nature
Page : 352 pages
File Size : 45,7 Mb
Release : 2021-06-28
Category : Business & Economics
ISBN : 9783030751906

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Data Analysis and Classification by Krzysztof Jajuga,Krzysztof Najman,Marek Walesiak Pdf

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.

Data Analysis, Classification, and Related Methods

Henk A.L. Kiers,Jean-Paul Rasson,Patrick J.F. Groenen,Martin Schader
Data Analysis Classification and Related Methods Book PDF

Author : Henk A.L. Kiers,Jean-Paul Rasson,Patrick J.F. Groenen,Martin Schader
Publisher : Springer Science & Business Media
Page : 428 pages
File Size : 53,5 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9783642597893

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Data Analysis, Classification, and Related Methods by Henk A.L. Kiers,Jean-Paul Rasson,Patrick J.F. Groenen,Martin Schader Pdf

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.

Selected Contributions in Data Analysis and Classification

Paula Brito,Patrice Bertrand,Guy Cucumel,Francisco De Carvalho
Selected Contributions in Data Analysis and Classification Book PDF

Author : Paula Brito,Patrice Bertrand,Guy Cucumel,Francisco De Carvalho
Publisher : Springer Science & Business Media
Page : 635 pages
File Size : 46,9 Mb
Release : 2007-08-16
Category : Mathematics
ISBN : 9783540735601

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Selected Contributions in Data Analysis and Classification by Paula Brito,Patrice Bertrand,Guy Cucumel,Francisco De Carvalho Pdf

This volume presents recent methodological developments in data analysis and classification. It covers a wide range of topics, including methods for classification and clustering, dissimilarity analysis, consensus methods, conceptual analysis of data, and data mining and knowledge discovery in databases. The book also presents a wide variety of applications, in fields such as biology, micro-array analysis, cyber traffic, and bank fraud detection.

Advances in Classification and Data Analysis

Simone Borra
Advances in Classification and Data Analysis Book PDF

Author : Simone Borra
Publisher : Springer
Page : 400 pages
File Size : 52,6 Mb
Release : 2001-02-27
Category : Business & Economics
ISBN : UOM:39015050523896

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Advances in Classification and Data Analysis by Simone Borra Pdf

The volume presents new developments in classification and mulitivariate analysis. Topics that have been treated with considerable attention are Cluster Analysis, Discriminant Analysis, Proximity Structure Analysis, Multidimensional Scaling, Genetic Algorithms, Neural Networks, Factorial Methods, Textual Data Analysis, Regression Models, Non-parametric Methods, Spatial and Time Series Analysis. Readers will find new methodologies and algorithms in topics that are of central interest in modern statistics, with applications that demonstrate the usefulness of the proposed techniques.

Classification and Data Analysis

Krzysztof Jajuga,Jacek Batóg,Marek Walesiak
Classification and Data Analysis Book PDF

Author : Krzysztof Jajuga,Jacek Batóg,Marek Walesiak
Publisher : Springer
Page : 335 pages
File Size : 54,6 Mb
Release : 2020-08-29
Category : Business & Economics
ISBN : 3030523470

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Classification and Data Analysis by Krzysztof Jajuga,Jacek Batóg,Marek Walesiak Pdf

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 the Forward Search

Sergio Zani,Andrea cccc,Marco Riani,Maurizio Vichi
Data Analysis Classification and the Forward Search Book PDF

Author : Sergio Zani,Andrea cccc,Marco Riani,Maurizio Vichi
Publisher : Springer Science & Business Media
Page : 420 pages
File Size : 40,6 Mb
Release : 2006-08-14
Category : Language Arts & Disciplines
ISBN : 9783540359777

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Data Analysis, Classification and the Forward Search by Sergio Zani,Andrea cccc,Marco Riani,Maurizio Vichi Pdf

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.

Classification and Data Science in the Digital Age

Paula Brito,José G. Dias,Berthold Lausen,Angela Montanari,Rebecca Nugent
Classification and Data Science in the Digital Age Book PDF

Author : Paula Brito,José G. Dias,Berthold Lausen,Angela Montanari,Rebecca Nugent
Publisher : Springer Nature
Page : 393 pages
File Size : 55,7 Mb
Release : 2023-12-07
Category : Computers
ISBN : 9783031090349

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Classification and Data Science in the Digital Age by Paula Brito,José G. Dias,Berthold Lausen,Angela Montanari,Rebecca Nugent Pdf

The contributions gathered in this open access book focus on modern methods for data science and classification and present a series of real-world applications. Numerous research topics are covered, ranging from statistical inference and modeling to clustering and dimension reduction, from functional data analysis to time series analysis, and network analysis. The applications reflect new analyses in a variety of fields, including medicine, marketing, genetics, engineering, and education. The book comprises selected and peer-reviewed papers presented at the 17th Conference of the International Federation of Classification Societies (IFCS 2022), held in Porto, Portugal, July 19–23, 2022. The IFCS federates the classification societies and the IFCS biennial conference brings together researchers and stakeholders in the areas of Data Science, Classification, and Machine Learning. It provides a forum for presenting high-quality theoretical and applied works, and promoting and fostering interdisciplinary research and international cooperation. The intended audience is researchers and practitioners who seek the latest developments and applications in the field of data science and classification.

Modern Statistics with R

Måns Thulin
Modern Statistics with R Book PDF

Author : Måns Thulin
Publisher : BoD - Books on Demand
Page : 598 pages
File Size : 46,9 Mb
Release : 2021-07-28
Category : Mathematics
ISBN : 9789152701515

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Modern Statistics with R by Måns Thulin Pdf

The past decades have transformed the world of statistical data analysis, with new methods, new types of data, and new computational tools. The aim of Modern Statistics with R is to introduce you to key parts of the modern statistical toolkit. It teaches you: - Data wrangling - importing, formatting, reshaping, merging, and filtering data in R. - Exploratory data analysis - using visualisation and multivariate techniques to explore datasets. - Statistical inference - modern methods for testing hypotheses and computing confidence intervals. - Predictive modelling - regression models and machine learning methods for prediction, classification, and forecasting. - Simulation - using simulation techniques for sample size computations and evaluations of statistical methods. - Ethics in statistics - ethical issues and good statistical practice. - R programming - writing code that is fast, readable, and free from bugs. Starting from the very basics, Modern Statistics with R helps you learn R by working with R. Topics covered range from plotting data and writing simple R code to using cross-validation for evaluating complex predictive models and using simulation for sample size determination. The book includes more than 200 exercises with fully worked solutions. Some familiarity with basic statistical concepts, such as linear regression, is assumed. No previous programming experience is needed.