Data Science Classification And Related Methods

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Data Science, Classification, and Related Methods

Author : Chikio Hayashi,Keiji Yajima,Hans H. Bock,Noboru Ohsumi,Yutaka Tanaka,Yasumasa Baba
Publisher : Springer Science & Business Media
Page : 780 pages
File Size : 53,8 Mb
Release : 2013-11-11
Category : Mathematics
ISBN : 9784431659501

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Data Science, Classification, and Related Methods by Chikio Hayashi,Keiji Yajima,Hans H. Bock,Noboru Ohsumi,Yutaka Tanaka,Yasumasa Baba Pdf

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.

Data Analysis, Classification, and Related Methods

Author : Henk A.L. Kiers,Jean-Paul Rasson,Patrick J.F. Groenen,Martin Schader
Publisher : Springer Science & Business Media
Page : 428 pages
File Size : 48,6 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.

Classification, Data Analysis, and Knowledge Organization

Author : Hans-Hermann Bock,Peter Ihm
Publisher : Springer Science & Business Media
Page : 404 pages
File Size : 54,6 Mb
Release : 2012-12-06
Category : Business & Economics
ISBN : 9783642763076

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Classification, Data Analysis, and Knowledge Organization by Hans-Hermann Bock,Peter Ihm Pdf

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.

Model-Based Clustering and Classification for Data Science

Author : Charles Bouveyron,Gilles Celeux,T. Brendan Murphy,Adrian E. Raftery
Publisher : Cambridge University Press
Page : 446 pages
File Size : 48,8 Mb
Release : 2019-07-25
Category : Business & Economics
ISBN : 9781108494205

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Model-Based Clustering and Classification for Data Science by Charles Bouveyron,Gilles Celeux,T. Brendan Murphy,Adrian E. Raftery Pdf

Colorful example-rich introduction to the state-of-the-art for students in data science, as well as researchers and practitioners.

Classification and Data Analysis

Author : Krzysztof Jajuga,Jacek Batóg,Marek Walesiak
Publisher : Springer Nature
Page : 334 pages
File Size : 40,9 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.

Data Science, Classification, and Related Methods

Author : Chikio Hayashi,Keiji Yajima,Hans H. Bock
Publisher : Unknown
Page : 800 pages
File Size : 45,6 Mb
Release : 2014-01-15
Category : Electronic
ISBN : 443165951X

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Data Science, Classification, and Related Methods by Chikio Hayashi,Keiji Yajima,Hans H. Bock Pdf

Classification and Data Science in the Digital Age

Author : Paula Brito,José G. Dias,Berthold Lausen,Angela Montanari,Rebecca Nugent
Publisher : Springer Nature
Page : 393 pages
File Size : 53,5 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.

Data Science and Classification

Author : Vladimir Batagelj,Hans-Hermann Bock,Anuška Ferligoj,Aleš Žiberna
Publisher : Springer Science & Business Media
Page : 350 pages
File Size : 42,8 Mb
Release : 2006-09-05
Category : Language Arts & Disciplines
ISBN : 9783540344162

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Data Science and Classification by Vladimir Batagelj,Hans-Hermann Bock,Anuška Ferligoj,Aleš Žiberna Pdf

Data Science and Classification provides new methodological developments in data analysis and classification. The broad and comprehensive coverage includes the measurement of similarity and dissimilarity, methods for classification and clustering, network and graph analyses, analysis of symbolic data, and web mining. Beyond structural and theoretical results, the book offers application advice for a variety of problems, in medicine, microarray analysis, social network structures, and music.

Advances in Data Science and Classification

Author : Alfredo Rizzi,Maurizio Vichi,Hans-Hermann Bock
Publisher : Springer Science & Business Media
Page : 678 pages
File Size : 46,9 Mb
Release : 2013-03-08
Category : Mathematics
ISBN : 9783642722530

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Advances in Data Science and Classification by Alfredo Rizzi,Maurizio Vichi,Hans-Hermann Bock Pdf

International Federation of Classification Societies The International Federation of Classification Societies (lFCS) is an agency for the dissemination of technical and scientific information concerning classification and multivariate data analysis in the broad sense and in as wide a range of applications as possible; founded in 1985 in Cambridge (UK) by the following Scientific Societies and Groups: - British Classification Society - BCS - Classification Society of North America - CSNA - Gesellschaft fUr Klassification - GfKI - Japanese Classification Society - JCS - Classification Group ofItalian Statistical Society - CGSIS - Societe Francophone de Classification - SFC Now the IFCS includes also the following Societies: - Dutch-Belgian Classification Society - VOC - Polish Classification Section - SKAD - Portuguese Classification Association - CLAD - Group at Large - Korean Classification Society - KCS IFCS-98, the Sixth Conference of the International Federation of Classification Societies, was held in Rome, from July 21 to 24, 1998. Five preceding conferences were held in Aachen (Germany), Charlottesville (USA), Edinburgh (UK), Paris (France), Kobe (Japan).

Innovations in Classification, Data Science, and Information Systems

Author : Daniel Baier,Klaus-Dieter Wernecke
Publisher : Springer Science & Business Media
Page : 620 pages
File Size : 47,5 Mb
Release : 2006-06-06
Category : Language Arts & Disciplines
ISBN : 9783540269816

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Innovations in Classification, Data Science, and Information Systems by Daniel Baier,Klaus-Dieter Wernecke Pdf

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, Clustering, and Data Analysis

Author : Krzystof Jajuga,Andrzej Sokolowski,Hans-Hermann Bock
Publisher : Springer Science & Business Media
Page : 468 pages
File Size : 54,9 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9783642561818

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Classification, Clustering, and Data Analysis by Krzystof Jajuga,Andrzej Sokolowski,Hans-Hermann Bock Pdf

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 Science and Machine Learning

Author : Dirk P. Kroese,Zdravko Botev,Thomas Taimre,Radislav Vaisman
Publisher : CRC Press
Page : 538 pages
File Size : 55,7 Mb
Release : 2019-11-20
Category : Business & Economics
ISBN : 9781000730777

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Data Science and Machine Learning by Dirk P. Kroese,Zdravko Botev,Thomas Taimre,Radislav Vaisman Pdf

Focuses on mathematical understanding Presentation is self-contained, accessible, and comprehensive Full color throughout Extensive list of exercises and worked-out examples Many concrete algorithms with actual code

Data Science and Social Research

Author : N. Carlo Lauro,Enrica Amaturo,Maria Gabriella Grassia,Biagio Aragona,Marina Marino
Publisher : Springer
Page : 300 pages
File Size : 51,8 Mb
Release : 2017-11-17
Category : Social Science
ISBN : 9783319554778

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Data Science and Social Research by N. Carlo Lauro,Enrica Amaturo,Maria Gabriella Grassia,Biagio Aragona,Marina Marino Pdf

This edited volume lays the groundwork for Social Data Science, addressing epistemological issues, methods, technologies, software and applications of data science in the social sciences. It presents data science techniques for the collection, analysis and use of both online and offline new (big) data in social research and related applications. Among others, the individual contributions cover topics like social media, learning analytics, clustering, statistical literacy, recurrence analysis and network analysis. Data science is a multidisciplinary approach based mainly on the methods of statistics and computer science, and its aim is to develop appropriate methodologies for forecasting and decision-making in response to an increasingly complex reality often characterized by large amounts of data (big data) of various types (numeric, ordinal and nominal variables, symbolic data, texts, images, data streams, multi-way data, social networks etc.) and from diverse sources. This book presents selected papers from the international conference on Data Science & Social Research, held in Naples, Italy in February 2016, and will appeal to researchers in the social sciences working in academia as well as in statistical institutes and offices.

Between Data Science and Applied Data Analysis

Author : Martin Schader,Wolfgang A. Gaul,Maurizio Vichi
Publisher : Springer Science & Business Media
Page : 702 pages
File Size : 54,9 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9783642189913

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Between Data Science and Applied Data Analysis by Martin Schader,Wolfgang A. Gaul,Maurizio Vichi Pdf

The volume presents new developments in data analysis and classification and gives an overview of the state of the art in these scientific fields and relevant applications. Areas that receive considerable attention in the book are clustering, discrimination, data analysis, and statistics, as well as applications in economics, biology, and medicine it provides recent technical and methodological developments and a large number of application papers demonstrating the usefulness of the newly developed techniques.

Data Science

Author : Francesco Palumbo,Angela Montanari,Maurizio Vichi
Publisher : Springer
Page : 342 pages
File Size : 45,8 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.