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Languages : en
Pages :
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Author:
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Category :
Languages : en
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Author: Oldemar RodrÃguez
Publisher:
ISBN:
Category :
Languages : en
Pages : 106
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Author: Paula Brito
Publisher:
ISBN: 9789899895553
Category :
Languages : en
Pages : 109
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Author:
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ISBN:
Category :
Languages : en
Pages : 0
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Author: Javier Arroyo
Publisher:
ISBN: 9788469565759
Category :
Languages : en
Pages : 80
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Author: Edwin Diday
Publisher: John Wiley & Sons
ISBN: 9780470723555
Category : Mathematics
Languages : en
Pages : 476
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Book Description
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 data. Symbolic data methods differ from that of data mining, for example, because rather than identifying points of interest in the data, symbolic data methods allow the user to build models of the data and make predictions about future events. This book is the result of the work f a pan-European project team led by Edwin Diday following 3 years work sponsored by EUROSTAT. It includes a full explanation of the new SODAS software developed as a result of this project. The software and methods described highlight the crossover between statistics and computer science, with a particular emphasis on data mining.
Author: Hans-Hermann Bock
Publisher: Springer Science & Business Media
ISBN: 3642571557
Category : Mathematics
Languages : en
Pages : 444
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Book Description
This book presents the most recent methods for analyzing and visualizing symbolic data. It generalizes classical methods of exploratory, statistical and graphical data analysis to the case of complex data. Several benchmark examples from National Statistical Offices illustrate the usefulness of the methods. The book contains an extensive bibliography and a subject index.
Author: Rivero, Laura C.
Publisher: IGI Global
ISBN: 1591407958
Category : Education
Languages : en
Pages : 784
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Book Description
"Addresses the evolution of database management, technologies and applications along with the progress and endeavors of new research areas."--P. xiii.
Author: Paula Brito
Publisher: Springer Science & Business Media
ISBN: 3540735585
Category : Computers
Languages : en
Pages : 619
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Book Description
This volume presents recent methodological developments in data analysis and classification. It covers a wide range of topics, including methods for classification and clustering, dissimilarity analysis, consensus methods, conceptual analysis of data, and data mining and knowledge discovery in databases. The book also presents a wide variety of applications, in fields such as biology, micro-array analysis, cyber traffic, and bank fraud detection.
Author: Christos H. Skiadas
Publisher: John Wiley & Sons
ISBN: 1119597579
Category : Mathematics
Languages : en
Pages : 286
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Book Description
This series of books collects a diverse array of work that provides the reader with theoretical and applied information on data analysis methods, models, and techniques, along with appropriate applications. Volume 1 begins with an introductory chapter by Gilbert Saporta, a leading expert in the field, who summarizes the developments in data analysis over the last 50 years. The book is then divided into three parts: Part 1 presents clustering and regression cases; Part 2 examines grouping and decomposition, GARCH and threshold models, structural equations, and SME modeling; and Part 3 presents symbolic data analysis, time series and multiple choice models, modeling in demography, and data mining.
