| Interface | Description |
|---|---|
| Associator | |
| CARuleMiner |
Interface for learning class association rules.
|
| Class | Description |
|---|---|
| AbstractAssociator |
Abstract scheme for learning associations.
|
| Apriori |
Class implementing an Apriori-type algorithm.
|
| AprioriItemSet |
Class for storing a set of items.
|
| AssociatorEvaluation |
Class for evaluating Associaters.
|
| CaRuleGeneration |
Class implementing the rule generation procedure of the predictive apriori algorithm for class association rules.
|
| CheckAssociator |
Class for examining the capabilities and finding problems with
associators.
|
| FilteredAssociator |
Class for running an arbitrary associator on data that has been passed through an arbitrary filter.
|
| FPGrowth |
Class implementing the FP-growth algorithm for finding large item sets without candidate generation.
|
| FPGrowth.AssociationRule | |
| FPGrowth.BinaryItem |
Inner class that handles a single binary item
|
| 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. |
| ItemSet |
Class for storing a set of items.
|
| LabeledItemSet |
Class for storing a set of items together with a class label.
|
| Messages |
Messages.
|
| 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. |
| PriorEstimation |
Class implementing the prior estimattion of the predictive apriori algorithm
for mining association rules.
|
| RuleGeneration |
Class implementing the rule generation procedure of the predictive apriori algorithm.
|
| RuleItem |
Class for storing an (class) association rule.
|
| SingleAssociatorEnhancer |
Abstract utility class for handling settings common to meta
associators that use a single base associator.
|
| Tertius |
Finds rules according to confirmation measure (Tertius-type algorithm).
For more information see: P. |
| Enum | Description |
|---|---|
| FPGrowth.AssociationRule.METRIC_TYPE |
Enum for holding different metric types
|