Modern Classification And Data Analysis PDF Download
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| Author | : Krzysztof Jajuga |
| Publisher | : Springer Nature |
| Total Pages | : 381 |
| Release | : 2022-10-16 |
| Genre | : Business & Economics |
| ISBN | : 3031101901 |
Download Modern Classification and Data Analysis Book in PDF, ePub and Kindle
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 | : Francesco Palumbo |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 473 |
| Release | : 2010-03-14 |
| Genre | : Mathematics |
| ISBN | : 3642037399 |
Download Data Analysis and Classification Book in PDF, ePub and Kindle
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.
| Author | : Simona Balzano |
| Publisher | : Springer Nature |
| Total Pages | : 182 |
| Release | : 2021-07-13 |
| Genre | : Mathematics |
| ISBN | : 3030699447 |
Download Statistical Learning and Modeling in Data Analysis Book in PDF, ePub and Kindle
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 | : Maurizio Vichi |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 388 |
| Release | : 2005-02-22 |
| Genre | : Business & Economics |
| ISBN | : 9783540238096 |
Download New Developments in Classification and Data Analysis Book in PDF, ePub and Kindle
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.
| Author | : Paula Brito |
| Publisher | : Springer Nature |
| Total Pages | : 393 |
| Release | : 2023-12-07 |
| Genre | : Computers |
| ISBN | : 3031090349 |
Download Classification and Data Science in the Digital Age Book in PDF, ePub and Kindle
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.
| Author | : Francesco Mola |
| Publisher | : Springer |
| Total Pages | : 243 |
| Release | : 2018-02-21 |
| Genre | : Mathematics |
| ISBN | : 3319557084 |
Download Classification, (Big) Data Analysis and Statistical Learning Book in PDF, ePub and Kindle
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 | : Bernard Fichet |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 460 |
| Release | : 2011-03-04 |
| Genre | : Mathematics |
| ISBN | : 3642133126 |
Download Classification and Multivariate Analysis for Complex Data Structures Book in PDF, ePub and Kindle
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 |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 428 |
| Release | : 2012-12-06 |
| Genre | : Mathematics |
| ISBN | : 3642597890 |
Download Data Analysis, Classification, and Related Methods Book in PDF, ePub and Kindle
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 | : Ingo Balderjahn |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 416 |
| Release | : 2013-03-12 |
| Genre | : Business & Economics |
| ISBN | : 3642720870 |
Download Classification, Data Analysis, and Data Highways Book in PDF, ePub and Kindle
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.
| Author | : Krzysztof Jajuga |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2021 |
| Genre | : |
| ISBN | : 9783030751913 |
Download Data Analysis and Classification Book in PDF, ePub and Kindle
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.
