Information and Classification, Otto Opitz; Berthold Lausen; R?diger Klar

Автор: Francesco Mola; Claudio Conversano; Maurizio Vichi
Название: Classification, (Big) Data Analysis and Statistical Learning
ISBN: 3319557076 ISBN-13(EAN): 9783319557076
Издательство: Springer
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Описание: 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.

Автор: Sanghamitra Bandyopadhyay; Sriparna Saha
Название: Unsupervised Classification
ISBN: 3642428363 ISBN-13(EAN): 9783642428364
Издательство: Springer
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Описание: This book offers a theoretical analysis of symmetry-based clustering techniques. It includes extensive real-world applications in data mining, remote sensing imaging, MR brain imaging, gene expression data analysis, and face detection.

Автор: Bernard van Cutsem
Название: Classification and Dissimilarity Analysis
ISBN: 0387944001 ISBN-13(EAN): 9780387944005
Издательство: Springer
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Цена: 16769.00 р.
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Описание: Classifying objects according to their likeness seems to have been a step in the human process of acquiring knowledge, and it is certainly a basic part of many of the sciences. Thus, classification is close to factorial analysis methods and to multi-dimensional scaling methods.

Автор: David D. Denison; Mark H. Hansen; Christopher C. H
Название: Nonlinear Estimation and Classification
ISBN: 0387954716 ISBN-13(EAN): 9780387954714
Издательство: Springer
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Описание: Driven by the complexity of these new problems, and fueled by the explosion of available computer power, highly adaptive, non-linear procedures are now essential components of modern "data analysis," a term that we liberally interpret to include speech and pattern recognition, classification, data compression and signal processing.

Автор: Simone Borra; Roberto Rocci; Maurizio Vichi; Marti
Название: Advances in Classification and Data Analysis
ISBN: 3540414886 ISBN-13(EAN): 9783540414889
Издательство: Springer
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Описание: This volume presents developments in classification and mulitivariate analysis. Topics that have been treated with considerable attention include cluster analysis, discriminant analysis, proximity structure analysis, multidimensional scaling, genetic algorithms, and neural networks.

Автор: Hans-Hermann Bock; Peter Ihm
Название: Classification, Data Analysis, and Knowledge Organization
ISBN: 3540534830 ISBN-13(EAN): 9783540534839
Издательство: Springer
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Описание: Proceedings of the 14th Annual Conference of the Gesellschaft fur Klassifikation e.V., University of Marburg March 12-14, 1990

Автор: Edwin Diday; Yves Lechevallier; Martin Schader; Pa
Название: New Approaches in Classification and Data Analysis
ISBN: 3540584250 ISBN-13(EAN): 9783540584254
Издательство: Springer
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Описание: This volume describes the analysis and processing of structural or quantitative data. It emphasizes classification methods and new algorithms, as well as applications in various related fields. It consists of survey papers in addition to research results.

Автор: Ingo Balderjahn; Rudolf Mathar; Martin Schader
Название: Classification, Data Analysis, and Data Highways
ISBN: 3540639098 ISBN-13(EAN): 9783540639091
Издательство: Springer
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Цена: 18167.00 р.
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Описание: 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.

Автор: Maurizio Vichi; Otto Opitz
Название: Classification and Data Analysis
ISBN: 3540656332 ISBN-13(EAN): 9783540656333
Издательство: Springer
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Описание: Proceedings of the Biannual Meeting of the Classification Group of Societa Italiana di Statistica (SIS), Pescara, July 3-4, 1997

Автор: Paula Brito; Patrice Bertrand; Guy Cucumel; Franci
Название: Selected Contributions in Data Analysis and Classification
ISBN: 3540735585 ISBN-13(EAN): 9783540735588
Издательство: Springer
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Цена: 19564.00 р.
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Описание: Presents methodological developments in data analysis and classification. This work covers topics including, methods for classification and clustering, dissimilarity analysis, graph analysis, consensus methods, conceptual analysis of data, analysis of symbolic data, data mining, and knowledge discovery in databases.

Автор: Chikio Hayashi; Keiji Yajima; Hans H. Bock; Noboru
Название: Data Science, Classification, and Related Methods
ISBN: 4431702083 ISBN-13(EAN): 9784431702085
Издательство: Springer
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Описание: 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.

Автор: Akinori Okada; Tadashi Imaizumi; Hans-Hermann Bock
Название: Cooperation in Classification and Data Analysis
ISBN: 3642006671 ISBN-13(EAN): 9783642006678
Издательство: Springer
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Описание: Presents theories, models, algorithms, and applications in clustering, classification, and visualization. This work includes applications of clustering, classification, and visualization in various fields such as marketing, recommendation system, biology, sociology, and social survey.