User Disclaimer and Agreements

This blog is maintained for the personal use of the author, with the intention of creating a list of bookmarks of free audio-books, comics, e-books, games, magazine, music, series, softwares, tutorials and other materials available on the net therefore neither you can't sell, nor use it for any commercial purposes. The author of this blog respects the copyright law and did not upload any of those you find here. We just collects (by using google and other search engines) link(s) hosted or posted by other server/people. The creator of this page or the ISP(s) hosting any content on this site take no responsibility for the way you use the information provided on this site. These audio-books, e-books, magazine, softwares, tutorials etc here are for educational purposes only and SHOULD BE VIEWED ONLY. If you download any files to view them, you are agreeing to delete them within a 24 hour period. It is strictly recommended to buy the products from the original owner/publisher of the products. The link(s) will be removed as soon as any complaint received from the original publisher/author of any material is published herein. Wish you have a good education.

Saturday, September 20, 2008

Symbolic Data Analysis and the SODAS Software March 2008 eBook


Symbolic Data Analysis and the SODAS Software (c) by Wiley-Interscience

The type of the release is: eBook
In the PDF format with ISBN: 0470018836 and Pub Date: March 21, 2008
The size of the release is: 02 disks x 2.88mb
And released on: 08/25/2008

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.

Amazon
Download

No comments: