Download all versions of predictiveApriori JAR files with all dependencies
predictiveApriori from group nz.ac.waikato.cms.weka (version 1.0.4)
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.
Artifact predictiveApriori
Group nz.ac.waikato.cms.weka
Version 1.0.4
Last update 04. August 2014
Tags: mining knowledge corrected trade data optimally algorithm tobias more finding value best conference concerning information with apriori support association predictive scheffer class increasing confidence principles searches rules threshold that european against implementing discovery based 2001
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/predictiveApriori
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
Group nz.ac.waikato.cms.weka
Version 1.0.4
Last update 04. August 2014
Tags: mining knowledge corrected trade data optimally algorithm tobias more finding value best conference concerning information with apriori support association predictive scheffer class increasing confidence principles searches rules threshold that european against implementing discovery based 2001
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/predictiveApriori
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
predictiveApriori from group nz.ac.waikato.cms.weka (version 1.0.3)
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.
Artifact predictiveApriori
Group nz.ac.waikato.cms.weka
Version 1.0.3
Last update 25. April 2014
Tags: mining knowledge corrected trade data optimally algorithm tobias more finding value best conference concerning information with apriori support association predictive scheffer class increasing confidence principles searches rules threshold that european against implementing discovery based 2001
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/predictiveApriori
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
Group nz.ac.waikato.cms.weka
Version 1.0.3
Last update 25. April 2014
Tags: mining knowledge corrected trade data optimally algorithm tobias more finding value best conference concerning information with apriori support association predictive scheffer class increasing confidence principles searches rules threshold that european against implementing discovery based 2001
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/predictiveApriori
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
predictiveApriori from group nz.ac.waikato.cms.weka (version 1.0.2)
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.
Artifact predictiveApriori
Group nz.ac.waikato.cms.weka
Version 1.0.2
Last update 26. April 2012
Tags: mining knowledge corrected trade data optimally algorithm tobias more finding value best conference concerning information with apriori support association predictive scheffer class increasing confidence principles searches rules threshold that european against implementing discovery based 2001
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/predictiveApriori
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
Group nz.ac.waikato.cms.weka
Version 1.0.2
Last update 26. April 2012
Tags: mining knowledge corrected trade data optimally algorithm tobias more finding value best conference concerning information with apriori support association predictive scheffer class increasing confidence principles searches rules threshold that european against implementing discovery based 2001
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/predictiveApriori
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
predictiveApriori from group nz.ac.waikato.cms.weka (version 1.0.1)
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.
Artifact predictiveApriori
Group nz.ac.waikato.cms.weka
Version 1.0.1
Last update 24. April 2012
Tags: mining knowledge corrected trade data optimally algorithm tobias more finding value best conference concerning information with apriori support association predictive scheffer class increasing confidence principles searches rules threshold that european against implementing discovery based 2001
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/predictiveApriori
License GNU General Public License 3
Dependencies amount 2
Dependencies weka-dev, weka-dev,
There are maybe transitive dependencies!
Group nz.ac.waikato.cms.weka
Version 1.0.1
Last update 24. April 2012
Tags: mining knowledge corrected trade data optimally algorithm tobias more finding value best conference concerning information with apriori support association predictive scheffer class increasing confidence principles searches rules threshold that european against implementing discovery based 2001
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/predictiveApriori
License GNU General Public License 3
Dependencies amount 2
Dependencies weka-dev, weka-dev,
There are maybe transitive dependencies!
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