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Analysis of Symbolic Data - Exploratory Methods for Extracting Statistical Information from Complex Data (Paperback, 2000 ed.) Loot Price: R3,212
Discovery Miles 32 120
Analysis of Symbolic Data - Exploratory Methods for Extracting Statistical Information from Complex Data (Paperback, 2000 ed.):...

Analysis of Symbolic Data - Exploratory Methods for Extracting Statistical Information from Complex Data (Paperback, 2000 ed.)

Hans Hermann Bock, Edwin Diday

Series: Studies in Classification, Data Analysis, and Knowledge Organization

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Loot Price R3,212 Discovery Miles 32 120 | Repayment Terms: R301 pm x 12*

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This first systematic and self-contained monograph on "Symbolic Data Analysis" 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 where the entries of a data table are, e. g., sets of categories or of numbers, intervals or probability distributions. Typical methods include: graphical displays using Zoom Stars, visualization and feature extraction by symbolic factor analysis, decision trees, discrimination, classification and clustering methods. Several benchmark examples from National Statistical Offices illustrate the usefulness of the methods. The book contains an extensive bibliography and a subject index.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Studies in Classification, Data Analysis, and Knowledge Organization
Release date: 2001
First published: 2000
Editors: Hans Hermann Bock • Edwin Diday
Dimensions: 242 x 170 x 23mm (L x W x T)
Format: Paperback
Pages: 425
Edition: 2000 ed.
ISBN-13: 978-3-540-66619-6
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Business & Economics > Business & management > Business mathematics & systems > General
Books > Computing & IT > Applications of computing > Databases > Data capture & analysis
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LSN: 3-540-66619-2
Barcode: 9783540666196

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