Class AbstractAssociationRuleMiner<T>
java.lang.Object
org.tweetyproject.machinelearning.assoc.AbstractAssociationRuleMiner<T>
- Type Parameters:
T
- the type of items
- All Implemented Interfaces:
AssociationRuleMiner<T>
,FrequentPatternMiner<T>
- Direct Known Subclasses:
AprioriMiner
public abstract class AbstractAssociationRuleMiner<T>
extends Object
implements AssociationRuleMiner<T>
Abstract layer for association rule miners, bundles common methods.
- Author:
- Matthias Thimm
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Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionmineRules
(Collection<Collection<T>> database) Mines a set of association rules from the given database.mineRules
(Collection<Collection<T>> database, int conclusion_limit) Mines a set of association rules from the given database.Methods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
Methods inherited from interface org.tweetyproject.machinelearning.assoc.AssociationRuleMiner
mineRules
Methods inherited from interface org.tweetyproject.machinelearning.assoc.FrequentPatternMiner
mineFrequentSets, mineFrequentSets
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Constructor Details
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AbstractAssociationRuleMiner
public AbstractAssociationRuleMiner()
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Method Details
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mineRules
Description copied from interface:AssociationRuleMiner
Mines a set of association rules from the given database.- Specified by:
mineRules
in interfaceAssociationRuleMiner<T>
- Parameters:
database
- some database- Returns:
- a set of association rules.
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mineRules
public Collection<AssociationRule<T>> mineRules(Collection<Collection<T>> database, int conclusion_limit) Description copied from interface:AssociationRuleMiner
Mines a set of association rules from the given database. Only those rules are mined where the conclusion has the maximal given number of elements.- Specified by:
mineRules
in interfaceAssociationRuleMiner<T>
- Parameters:
database
- some databaseconclusion_limit
- the maximal size of elements in the conclusion of the mined rules.- Returns:
- a set of association rules.
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