| Author: | Stefan Mutter | |
| Category: | Associations | |
| Date: | 2012-03-20 | |
| Depends: | weka (>=3.7.1) | |
| Description: | Class implementing the predictive apriori algorithm for mining association rules. It searches with an increasing support threshold for the best 'n' rules concerning a support-based corrected confidence value. For more information see: Tobias Scheffer: Finding Association Rules That Trade Support Optimally against Confidence. In: 5th European Conference on Principles of Data Mining and Knowledge Discovery, 424-435, 2001. | |
| License: | GPL 3.0 | |
| Maintainer: | Weka team <wekalist{[at]}list.scms.waikato.ac.nz> | |
| PackageURL: | http://prdownloads.sourceforge.net/weka/predictiveApriori1.0.1.zip?download | |
| URL: | http://weka.sourceforge.net/doc.packages/predictiveApriori | |
| Version: | 1.0.1 |