Symbolic Data Analysis and the SODAS Software (repost)

ISBN: 0470018836

Category: Technical

Tag: Programming


Posted on 2011-07-26. By anonymous.

Description


Edwin Diday, Monique Noirhomme-Fraiture, "Symbolic Data Analysis and the SODAS Software"
W..ey-Int..ce | 2008 | ISBN: 0470018836 | 476 pages | PDF | 12,5 MB

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.

Download

uploading.com


filesonic.com



My blog on AH


Sponsored High Speed Downloads
8222 dl's @ 2478 KB/s
Download Now [Full Version]
5386 dl's @ 3613 KB/s
Download Link 1 - Fast Download
6947 dl's @ 3655 KB/s
Download Mirror - Direct Download



Search More...
Symbolic Data Analysis and the SODAS Software (repost)

Search free ebooks in ebookee.com!


Links
Download this book

No active download links here?
Please check the description for download links if any or do a search to find alternative books.


Related Books


Comments

No comments for "Symbolic Data Analysis and the SODAS Software (repost)".


    Add Your Comments
    1. Download links and password may be in the description section, read description carefully!
    2. Do a search to find mirrors if no download links or dead links.
    Back to Top