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Class Summary |
| AbstractAssociator |
Abstract scheme for learning associations. |
| Apriori |
Class implementing an Apriori-type algorithm. |
| AprioriItemSet |
Class for storing a set of items. |
| AssociationRule |
Abstract class for storing and manipulating an association rule. |
| AssociationRules |
Class encapsulating a list of association rules. |
| AssociatorEvaluation |
Class for evaluating Associaters. |
| BinaryItem |
Class that encapsulates an item whose backing Attribute is
binary or unary. |
| CheckAssociator |
Class for examining the capabilities and finding problems with
associators. |
| DefaultAssociationRule |
Class for storing and manipulating an association rule. |
| FilteredAssociationRules |
Class encapsulating a list of association rules and the preprocessing filter
that was applied before they were generated. |
| 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. |
| Item |
Class that encapsulates information about an individual item. |
| ItemSet |
Class for storing a set of items. |
| LabeledItemSet |
Class for storing a set of items together with a class label. |
| NominalItem |
Class that encapsulates a nominal item. |
| NumericItem |
Class that encapsulates a numeric item. |
| SingleAssociatorEnhancer |
Abstract utility class for handling settings common to meta
associators that use a single base associator. |