Classification and Data Analysis: Theory and Applications, Jajuga Krzysztof, Batуg Jacek, Walesiak Marek

Автор: Joseph K. Blitzstein, Jessica Hwang
Название: Introduction to Probability, Second Edition
ISBN: 1138369918 ISBN-13(EAN): 9781138369917
Издательство: Taylor&Francis
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Описание: Assumes one-semester of calculus. "Stories" make distributions (Normal, Binomial, Poisson that are widely-used in statistics) easier to remember, understand. Many books write down formulas without explaining clearly why these particular distributions are important or how they are all connected.

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: 13415.00 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: 15855.00 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: Hans-Hermann Bock; Peter Ihm
Название: Classification, Data Analysis, and Knowledge Organization
ISBN: 3540534830 ISBN-13(EAN): 9783540534839
Издательство: Springer
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Цена: 10610.00 р.
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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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Цена: 13415.00 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: Maurizio Vichi; Otto Opitz
Название: Classification and Data Analysis
ISBN: 3540656332 ISBN-13(EAN): 9783540656333
Издательство: Springer
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Цена: 15855.00 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: 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: 15855.00 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: 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: 17074.00 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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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.

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: 20123.00 р.
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Автор: Ma, Xin
Название: Using classification and regression trees
ISBN: 164113237X ISBN-13(EAN): 9781641132374
Издательство: Mare Nostrum (Eurospan)
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Цена: 7623.00 р.
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Описание: Classification and regression trees (CART) is one of the several contemporary statistical techniques with good promise for research in many academic fields. There are very few books on CART, especially on applied CART.This book, as a good practical primer with a focus on applications, introduces the relatively new statistical technique of CART as a powerful analytical tool. The easy-to-understand (non-technical) language and illustrative graphs (tables) as well as the use of the popular statistical software program (SPSS) appeal to readers without strong statistical background. This book helps readers understand the foundation, the operation, and the interpretation of CART analysis, thus becoming knowledgeable consumers and skillful users of CART.The chapter on advanced CART procedures not yet well-discussed in the literature allows readers to effectively seek further empowerment of their research designs by extending the analytical power of CART to a whole new level. This highly practical book is specifically written for academic researchers, data analysts, and graduate students in many disciplines such as economics, social sciences, medical sciences, and sport sciences who do not have strong statistical background but still strive to take full advantage of CART as a powerful analytical tool for research in their fields.

Автор: Ma, Xin
Название: Using classification and regression trees
ISBN: 1641132388 ISBN-13(EAN): 9781641132381
Издательство: Mare Nostrum (Eurospan)
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Цена: 14137.00 р.
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Описание: Classification and regression trees (CART) is one of the several contemporary statistical techniques with good promise for research in many academic fields. There are very few books on CART, especially on applied CART.This book, as a good practical primer with a focus on applications, introduces the relatively new statistical technique of CART as a powerful analytical tool. The easy-to-understand (non-technical) language and illustrative graphs (tables) as well as the use of the popular statistical software program (SPSS) appeal to readers without strong statistical background. This book helps readers understand the foundation, the operation, and the interpretation of CART analysis, thus becoming knowledgeable consumers and skillful users of CART.The chapter on advanced CART procedures not yet well-discussed in the literature allows readers to effectively seek further empowerment of their research designs by extending the analytical power of CART to a whole new level. This highly practical book is specifically written for academic researchers, data analysts, and graduate students in many disciplines such as economics, social sciences, medical sciences, and sport sciences who do not have strong statistical background but still strive to take full advantage of CART as a powerful analytical tool for research in their fields.