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

Автор: R?diger Klar; Otto Opitz
Название: Classification and Knowledge Organization
ISBN: 3540629815 ISBN-13(EAN): 9783540629818
Издательство: Springer
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Цена: 12157.00 р.
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Описание: Large collections of data and information necessitate adequate methods for their analysis. The book presents such methods, proposes and discusses recent approaches and implementations and describes a series of practical applications.

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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Цена: 15372.00 р.
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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: Saman K. Halgamuge; Lipo Wang
Название: Classification and Clustering for Knowledge Discovery
ISBN: 3642065422 ISBN-13(EAN): 9783642065422
Издательство: Springer
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Цена: 29209.00 р.
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Описание: This book covers recent advances in unsupervised and supervised data analysis methods in Computational Intelligence for knowledge discovery. If labeled data or data with known associations are available, we may be able to use supervised data analysis methods, such as classifying neural networks, fuzzy rule-based classifiers, and decision trees.

Название: Analysis of longitudinal data
ISBN: 0199676755 ISBN-13(EAN): 9780199676750
Издательство: Oxford Academ
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Цена: 8395.00 р.
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Описание: This second edition has been completely revised and expanded to become the most up-to-date and thorough professional reference text in this fast-moving area of biostatistics. It contains an additional two chapters on fully parametric models for discrete repeated measures data and statistical models for time-dependent predictors.

Автор: Bevington; Robinson
Название: Data Reduction And Error Analysis For The Physical Sciences
ISBN: 0071199268 ISBN-13(EAN): 9780071199261
Издательство: McGraw-Hill
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Цена: 7377.00 р.
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Описание: Provides an introduction to the concepts of statistical analysis of data for students at undergraduate and graduate level. This text also provides tools for data reduction and error analysis commonly required in the physical sciences. It features a variety of numerical and graphical techniques, and emphasizes methods of handling data than theory.

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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Цена: 15372.00 р.
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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: 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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Цена: 18167.00 р.
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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: 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: Francesco Palumbo; Carlo Natale Lauro; Michael Gre
Название: Data Analysis and Classification
ISBN: 3642037380 ISBN-13(EAN): 9783642037382
Издательство: Springer
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Цена: 23058.00 р.
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Автор: Maurizio Vichi; Otto Opitz
Название: Classification and Data Analysis
ISBN: 3540656332 ISBN-13(EAN): 9783540656333
Издательство: Springer
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Цена: 18167.00 р.
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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: 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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Цена: 18167.00 р.
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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.