| Overview | Package | Class | Use | Tree | Deprecated | Index | Help |
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| Packages that use Item | |
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| com.rapidminer.operator.learner.associations | This package contains classes and operators for association rule mining and frequent item set mining. |
| com.rapidminer.operator.learner.associations.fpgrowth | This package contains classes and operators for association rule mining and frequent item set mining based on FPGrowth. |
| Uses of Item in com.rapidminer.operator.learner.associations |
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| Classes in com.rapidminer.operator.learner.associations that implement Item | |
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class |
BooleanAttributeItem
This is an Item based on boolean attributes. |
| Methods in com.rapidminer.operator.learner.associations that return Item | |
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Item[] |
AssociationRules.getAllConclusionItems()
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Item |
FrequentItemSet.getItem(int index)
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| Methods in com.rapidminer.operator.learner.associations that return types with arguments of type Item | |
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java.util.Iterator<Item> |
AssociationRule.getConclusionItems()
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java.util.Collection<Item> |
FrequentItemSet.getItems()
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java.util.Iterator<Item> |
AssociationRule.getPremiseItems()
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| Methods in com.rapidminer.operator.learner.associations with parameters of type Item | |
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void |
FrequentItemSet.addItem(Item item,
int frequency)
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int |
BooleanAttributeItem.compareTo(Item arg0)
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| Constructor parameters in com.rapidminer.operator.learner.associations with type arguments of type Item | |
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AssociationRule(java.util.Collection<Item> premise,
java.util.Collection<Item> conclusion,
double totalSupport)
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AssociationRule(java.util.Collection<Item> premise,
java.util.Collection<Item> conclusion,
double totalSupport)
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FrequentItemSet(java.util.ArrayList<Item> items,
int frequency)
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| Uses of Item in com.rapidminer.operator.learner.associations.fpgrowth |
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| Fields in com.rapidminer.operator.learner.associations.fpgrowth declared as Item | |
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protected Item |
FPTreeNode.nodeItem
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| Fields in com.rapidminer.operator.learner.associations.fpgrowth with type parameters of type Item | |
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protected java.util.Map<Item,FPTreeNode> |
FPTreeNode.children
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| Methods in com.rapidminer.operator.learner.associations.fpgrowth that return Item | |
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Item |
FPTreeNode.getNodeItem()
this returns the item, this node represents |
| Methods in com.rapidminer.operator.learner.associations.fpgrowth that return types with arguments of type Item | |
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java.util.Map<Item,FPTreeNode> |
FPTreeNode.getChildren()
This returns the map, which maps the child nodes on items. |
java.util.Map<Item,Header> |
FPTree.getHeaderTable()
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| Methods in com.rapidminer.operator.learner.associations.fpgrowth with parameters of type Item | |
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FPTreeNode |
FPTreeNode.createChildNode(Item nodeItem)
this method creates a new childnode of this node, representing the node item |
| Method parameters in com.rapidminer.operator.learner.associations.fpgrowth with type arguments of type Item | |
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void |
FPTree.addItemSet(java.util.Collection<Item> itemSet,
int weight)
This method adds a set of Items to the tree. |
void |
FPTreeNode.addItemSet(java.util.Collection<Item> itemSet,
java.util.Map<Item,Header> headerTable,
int weight)
This method only works at recursiondepth 0, therefore may only be used for tree constructing. |
void |
FPTreeNode.addItemSet(java.util.Collection<Item> itemSet,
java.util.Map<Item,Header> headerTable,
int weight)
This method only works at recursiondepth 0, therefore may only be used for tree constructing. |
| Constructors in com.rapidminer.operator.learner.associations.fpgrowth with parameters of type Item | |
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FPTreeNode(FPTreeNode father,
Item nodeItem)
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