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apriori from group com.github.michael-rapp (version 2.0.1)

A Java implementation of the Apriori algorithm for finding frequent item sets and (optionally) generating association rules.

Group: com.github.michael-rapp Artifact: apriori
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Download apriori.jar (2.0.1)
 

32 downloads
Artifact apriori
Group com.github.michael-rapp
Version 2.0.1
Last update 12. April 2019
Organization not specified
URL https://github.com/michael-rapp/Apriori
License Apache License version 2.0
Dependencies amount 0
Dependencies No dependencies
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predictiveApriori from group nz.ac.waikato.cms.weka (version 1.0.4)

Group: nz.ac.waikato.cms.weka Artifact: predictiveApriori
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Download predictiveApriori.jar (1.0.4)
 

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Artifact predictiveApriori
Group nz.ac.waikato.cms.weka
Version 1.0.4


denormalize from group nz.ac.waikato.cms.weka (version 1.0.3)

An instance filter that collapses instances with a common grouping ID value into a single instance. Useful for converting transactional data into a format that Weka's association rule learners can handle. IMPORTANT: assumes that the incoming batch of instances has been sorted on the grouping attribute. The values of nominal attributes are converted to indicator attributes. These can be either binary (with f and t values) or unary with missing values used to indicate absence. The later is Weka's old market basket format, which is useful for Apriori. Numeric attributes can be aggregated within groups by computing the average, sum, minimum or maximum.

Group: nz.ac.waikato.cms.weka Artifact: denormalize
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Download denormalize.jar (1.0.3)
 

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Artifact denormalize
Group nz.ac.waikato.cms.weka
Version 1.0.3
Last update 29. April 2014
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/denormalize
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
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