Detect unexpected relationships in data sets with CliniMiner

Submitted By: jmalasko
Rating: (Not rated) (Rate It)
Share: Share By Email By Email

Visit


Description

CliniMiner is a show of an undirected data-mining method for detecting unexpected relationships in large data sets. This tool predicts unexpected qualitative and quantitative phenomena in large data sets by unsupervised data mining where the combinations of items to examine explode. "Explode" means that processing the exhaustive combinations of statistical tests could take years.

Comments (0)


Add Your Rating

(Not published)
star
starstar
starstarstar
starstarstarstar
starstarstarstarstar
 

Recent Jobs

Official Programmer's Heaven Blogs
Web Hosting | Browser and Social Games | Gadgets

Popular resources on Programmersheaven.com
Assembly | Basic | C | C# | C++ | Delphi | Flash | Java | JavaScript | Pascal | Perl | PHP | Python | Ruby | Visual Basic
© Copyright 2011 Programmersheaven.com - All rights reserved.
Reproduction in whole or in part, in any form or medium without express written permission is prohibited.
Violators of this policy may be subject to legal action. Please read our Terms Of Use and Privacy Statement for more information.
Operated by CommunityHeaven, a BootstrapLabs company.