|
|||||||||||
PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES |
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. |
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 Summary | |
---|---|
FPGrowth.AssociationRule.METRIC_TYPE | Enum for holding different metric types |
|
|||||||||||
PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES |