Package | Description |
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weka.associations |
Modifier and Type | Class and Description |
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class |
Apriori
Class implementing an Apriori-type algorithm.
|
class |
FilteredAssociator
Class for running an arbitrary associator on data that has been passed through an arbitrary filter.
|
class |
FPGrowth
Class implementing the FP-growth algorithm for finding large item sets without candidate generation.
|
class |
GeneralizedSequentialPatterns
Class implementing a GSP algorithm for discovering sequential patterns in a sequential data set.
The attribute identifying the distinct data sequences contained in the set can be determined by the respective option. |
class |
PredictiveApriori
Class implementing the predictive apriori algorithm to mine 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. |
class |
SingleAssociatorEnhancer
Abstract utility class for handling settings common to meta
associators that use a single base associator.
|
class |
Tertius
Finds rules according to confirmation measure (Tertius-type algorithm).
For more information see: P. |
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