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

Categories	Weka Business Logic Libraries Machine Learning
GroupId	nz.ac.waikato.cms.weka
ArtifactId	predictiveApriori
Version	1.0.3
Type	jar

Download predictiveApriori 1.0.3

Filename	Size
predictiveApriori-1.0.3.pom
predictiveApriori-1.0.3.jar	25 KB
predictiveApriori-1.0.3-tests.jar	5 KB
predictiveApriori-1.0.3-test-sources.jar	1 KB
predictiveApriori-1.0.3-sources.jar	20 KB
predictiveApriori-1.0.3-javadoc.jar	71 KB

Apache Maven

<!-- https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/predictiveApriori/ -->
<dependency>
    <groupId>nz.ac.waikato.cms.weka</groupId>
    <artifactId>predictiveApriori</artifactId>
    <version>1.0.3</version>
</dependency>

Gradle Groovy

// https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/predictiveApriori/
implementation 'nz.ac.waikato.cms.weka:predictiveApriori:1.0.3'

Gradle Kotlin

// https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/predictiveApriori/
implementation ("nz.ac.waikato.cms.weka:predictiveApriori:1.0.3")

Apache Buildr

'nz.ac.waikato.cms.weka:predictiveApriori:jar:1.0.3'

Apache Ivy

<dependency org="nz.ac.waikato.cms.weka" name="predictiveApriori" rev="1.0.3">
  <artifact name="predictiveApriori" type="jar" />
</dependency>

Groovy Grape

@Grapes(
@Grab(group='nz.ac.waikato.cms.weka', module='predictiveApriori', version='1.0.3')
)

Scala SBT

libraryDependencies += "nz.ac.waikato.cms.weka" % "predictiveApriori" % "1.0.3"

Leiningen

[nz.ac.waikato.cms.weka/predictiveApriori "1.0.3"]