predictiveApriori

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.

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'nz.ac.waikato.cms.weka:predictiveApriori:1.0.2'

<dependency>
	<groupId>nz.ac.waikato.cms.weka</groupId>
	<artifactId>predictiveApriori</artifactId>
	<version>1.0.2</version>
</dependency>

<dependency org="nz.ac.waikato.cms.weka" name="predictiveApriori" rev="1.0.2"/>

"nz.ac.waikato.cms.weka", "predictiveApriori", "1.0.2"

Dependencies

Compile dependencies

nz.ac.waikato.cms.weka » weka-dev » [3.7.1,)

Test dependencies

junit » junit » 3.8.2
nz.ac.waikato.cms.weka » weka-dev » [3.7.1,)