Symbolic Data Analysis and the SODAS Software
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- Synopsis
- 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.
- Copyright:
- 2008
Book Details
- Book Quality:
- Publisher Quality
- Book Size:
- 476 Pages
- ISBN-13:
- 9780470723555
- Related ISBNs:
- 9780470723562, 9780470018835
- Publisher:
- Wiley
- Date of Addition:
- 11/27/19
- Copyrighted By:
- N/A
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Mathematics and Statistics
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Edwin Diday
- Edited by:
- Monique Noirhomme-Fraiture