Data classification, 

Автор: Grolemund Garrett, Wickham Hadley
Название: R for Data Science
ISBN: 1491910399 ISBN-13(EAN): 9781491910399
Издательство: Wiley
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Цена: 46450.00 T
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Описание: Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun.

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: 102480.00 T
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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: 121110.00 T
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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: 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: 130430.00 T
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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: 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: 102480.00 T
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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: 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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Цена: 81050.00 T
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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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Цена: 121110.00 T
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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: 153720.00 T
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Автор: Billard
Название: Classification Methodology for Symbolic Data
ISBN: 0470713933 ISBN-13(EAN): 9780470713938
Издательство: Wiley
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Цена: 69640.00 T
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Описание: Symbolic data analysis is a relatively new field that provides a range of methods for analyzing complex datasets. Standard statistical methods do not have the power or flexibility to make sense of very large datasets, and symbolic data analysis techniques have been developed in order to extract knowledge from such a data.

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: 81050.00 T
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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: Seetha Hari, Murty M. Narasimha, Tripathy B. K.
Название: Modern Technologies for Big Data Classification and Clustering
ISBN: 1522528059 ISBN-13(EAN): 9781522528050
Издательство: Mare Nostrum (Eurospan)
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Цена: 208830.00 T
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Описание: Data has increased due to the growing use of web applications and communication devices. It is necessary to develop new techniques of managing data in order to ensure adequate usage.Modern Technologies for Big Data Classification and Clustering is an essential reference source for the latest scholarly research on handling large data sets with conventional data mining and provide information about the new technologies developed for the management of large data. Featuring coverage on a broad range of topics such as text and web data analytics, risk analysis, and opinion mining, this publication is ideally designed for professionals, researchers, and students seeking current research on various concepts of big data analytics.Topics Covered:The many academic areas covered in this publication include, but are not limited to:Data visualizationDistributed Computing SystemsOpinion MiningPrivacy and securityRisk analysisSocial Network AnalysisText Data AnalyticsWeb Data Analytics

Автор: Maurizio Vichi; Otto Opitz
Название: Classification and Data Analysis
ISBN: 3540656332 ISBN-13(EAN): 9783540656333
Издательство: Springer
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Цена: 121110.00 T
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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