Selected Contributions In Data Analysis And Classification

Author : Paula Brito,Patrice Bertrand,Guy Cucumel,Francisco De Carvalho
Publisher : Springer Science & Business Media
Page : 635 pages
File Size : 48,9 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.

Author : Francesco Palumbo,Angela Montanari,Maurizio Vichi
Publisher : Springer
Page : 342 pages
File Size : 55,9 Mb
Release : 2017-07-04
Category : Mathematics
ISBN : 9783319557236

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Data Science by Francesco Palumbo,Angela Montanari,Maurizio Vichi Pdf

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.

Author : Krzysztof Jajuga,Jacek Batóg,Marek Walesiak
Publisher : Springer Nature
Page : 334 pages
File Size : 47,6 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.

Author : Simona Balzano,Giovanni C. Porzio,Renato Salvatore,Domenico Vistocco,Maurizio Vichi
Publisher : Springer Nature
Page : 182 pages
File Size : 53,7 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.

Author : Krzysztof Jajuga,Krzysztof Najman,Marek Walesiak
Publisher : Springer Nature
Page : 352 pages
File Size : 54,9 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.

Author : Francesco Mola,Claudio Conversano,Maurizio Vichi
Publisher : Springer
Page : 242 pages
File Size : 52,7 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.

Author : Berthold Lausen,Dirk Van den Poel,Alfred Ultsch
Publisher : Springer Science & Business Media
Page : 547 pages
File Size : 44,7 Mb
Release : 2013-08-28
Category : Computers
ISBN : 9783319000350

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Algorithms from and for Nature and Life by Berthold Lausen,Dirk Van den Poel,Alfred Ultsch Pdf

This volume provides approaches and solutions to challenges occurring at the interface of research fields such as, e.g., data analysis, data mining and knowledge discovery, computer science, operations research, and statistics. In addition to theory-oriented contributions various application areas are included. Moreover, traditional classification research directions concerning network data, graphs, and social relationships as well as statistical musicology describe examples for current interest fields tackled by the authors. The book comprises a total of 55 selected papers presented at the Joint Conference of the German Classification Society (GfKl), the German Association for Pattern Recognition (DAGM), and the Symposium of the International Federation of Classification Societies (IFCS) in 2011.​

Author : Maurizio Vichi,Paola Monari,Stefania Mignani,Angela Montanari
Publisher : Springer Science & Business Media
Page : 370 pages
File Size : 45,9 Mb
Release : 2006-03-30
Category : Business & Economics
ISBN : 9783540273738

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New Developments in Classification and Data Analysis by Maurizio Vichi,Paola Monari,Stefania Mignani,Angela Montanari Pdf

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.

Author : Francesca Greselin,Laura Deldossi,Luca Bagnato,Maurizio Vichi
Publisher : Springer Nature
Page : 201 pages
File Size : 46,5 Mb
Release : 2019-09-06
Category : Mathematics
ISBN : 9783030211400

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Statistical Learning of Complex Data by Francesca Greselin,Laura Deldossi,Luca Bagnato,Maurizio Vichi Pdf

This book of peer-reviewed contributions presents the latest findings in classification, statistical learning, data analysis and related areas, including supervised and unsupervised classification, clustering, statistical analysis of mixed-type data, big data analysis, statistical modeling, graphical models and social networks. It covers both methodological aspects as well as applications to a wide range of fields such as economics, architecture, medicine, data management, consumer behavior and the gender gap. 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 of data analysis and classification. It gathers selected and peer-reviewed contributions presented at the 11th Scientific Meeting of the Classification and Data Analysis Group of the Italian Statistical Society (CLADAG 2017), held in Milan, Italy, on September 13–15, 2017.

Author : Theodore Chadjipadelis,Berthold Lausen,Angelos Markos,Tae Rim Lee,Angela Montanari,Rebecca Nugent
Publisher : Springer Nature
Page : 349 pages
File Size : 53,9 Mb
Release : 2021-02-15
Category : Mathematics
ISBN : 9783030601041

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Data Analysis and Rationality in a Complex World by Theodore Chadjipadelis,Berthold Lausen,Angelos Markos,Tae Rim Lee,Angela Montanari,Rebecca Nugent Pdf

This volume presents the latest advances in statistics and data science, including theoretical, methodological and computational developments and practical applications related to classification and clustering, data gathering, exploratory and multivariate data analysis, statistical modeling, and knowledge discovery and seeking. It includes contributions on analyzing and interpreting large, complex and aggregated datasets, and highlights numerous applications in economics, finance, computer science, political science and education. It gathers a selection of peer-reviewed contributions presented at the 16th Conference of the International Federation of Classification Societies (IFCS 2019), which was organized by the Greek Society of Data Analysis and held in Thessaloniki, Greece, on August 26-29, 2019.

Author : Krzysztof Jajuga,Grażyna Dehnel,Marek Walesiak
Publisher : Springer Nature
Page : 381 pages
File Size : 52,7 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.

Author : Bernard Fichet,Domenico Piccolo,Rosanna Verde,Maurizio Vichi
Publisher : Springer Science & Business Media
Page : 473 pages
File Size : 44,9 Mb
Release : 2011-03-04
Category : Mathematics
ISBN : 9783642133121

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Classification and Multivariate Analysis for Complex Data Structures by Bernard Fichet,Domenico Piccolo,Rosanna Verde,Maurizio Vichi Pdf

The growing capabilities in generating and collecting data has risen an urgent need of new techniques and tools in order to analyze, classify and summarize statistical information, as well as to discover and characterize trends, and to automatically bag anomalies. This volume provides the latest advances in data analysis methods for multidimensional data which can present a complex structure: The book offers a selection of papers presented at the first Joint Meeting of the Société Francophone de Classification and the Classification and Data Analysis Group of the Italian Statistical Society. Special attention is paid to new methodological contributions from both the theoretical and the applicative point of views, in the fields of Clustering, Classification, Time Series Analysis, Multidimensional Data Analysis, Knowledge Discovery from Large Datasets, Spatial Statistics.

Author : Henk A.L. Kiers,Jean-Paul Rasson,Patrick J.F. Groenen,Martin Schader
Publisher : Springer Science & Business Media
Page : 428 pages
File Size : 43,8 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.

Author : Geyer-Schulz, Andreas,Pociecha, Józef
Publisher : KIT Scientific Publishing
Page : 192 pages
File Size : 45,7 Mb
Release : 2017-02-22
Category : Electronic
ISBN : 9783731505815

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Special Issue: Selected Papers of the 3rd German-Polish Symposium on Data Analysis and Applications by Geyer-Schulz, Andreas,Pociecha, Józef Pdf

Author : Adalbert F.X. Wilhelm,Hans A. Kestler
Publisher : Springer
Page : 656 pages
File Size : 41,8 Mb
Release : 2016-08-03
Category : Computers
ISBN : 9783319252261

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Analysis of Large and Complex Data by Adalbert F.X. Wilhelm,Hans A. Kestler Pdf

This book offers a snapshot of the state-of-the-art in classification at the interface between statistics, computer science and application fields. The contributions span a broad spectrum, from theoretical developments to practical applications; they all share a strong computational component. The topics addressed are from the following fields: Statistics and Data Analysis; Machine Learning and Knowledge Discovery; Data Analysis in Marketing; Data Analysis in Finance and Economics; Data Analysis in Medicine and the Life Sciences; Data Analysis in the Social, Behavioural, and Health Care Sciences; Data Analysis in Interdisciplinary Domains; Classification and Subject Indexing in Library and Information Science. The book presents selected papers from the Second European Conference on Data Analysis, held at Jacobs University Bremen in July 2014. This conference unites diverse researchers in the pursuit of a common topic, creating truly unique synergies in the process.