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| Interface Summary | |
|---|---|
| Associator | |
| CARuleMiner | Interface for learning class association rules. |
| Class Summary | |
|---|---|
| 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. |
| 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 Summary | |
|---|---|
| FPGrowth.AssociationRule.METRIC_TYPE | Enum for holding different metric types |
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