tech.tablesaw.api.ml.association

Class AssociationRuleMining

java.lang.Object

tech.tablesaw.api.ml.association.AssociationRuleMining

public class AssociationRuleMining
extends Object

Association Rule Mining is an unsupervised mining technique related to frequent itemsets

Where frequent itemset analysis is concerned only with identifying items that are found together in many baskets, and labeling them with how often they are found. This can be confusing in that there may be some items that are individually very common, and so they appear in the same basket frequently just by chance.

Association Rule Mining attempts to identify frequent itemsets that are surprising: That is to say, where the items appear together much more frequently (or less frequently) than one would expect by chance alone

Constructor Summary

Constructors

Constructor and Description
AssociationRuleMining(IntColumn sets, CategoryColumn items, double support)
AssociationRuleMining(ShortColumn sets, ShortColumn items, double support)

Method Summary

Modifier and Type	Method and Description
Table	interest(double confidenceThreshold, double interestThreshold, it.unimi.dsi.fastutil.objects.Object2DoubleOpenHashMap<it.unimi.dsi.fastutil.ints.IntRBTreeSet> confidenceMap)
List<smile.association.AssociationRule>	interestingRules(double confidenceThreshold, double interestThreshold, it.unimi.dsi.fastutil.objects.Object2DoubleOpenHashMap<it.unimi.dsi.fastutil.ints.IntRBTreeSet> confidenceMap)
List<smile.association.AssociationRule>	learn(double confidenceThreshold)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

AssociationRuleMining

public AssociationRuleMining(ShortColumn sets,
                             ShortColumn items,
                             double support)

AssociationRuleMining

public AssociationRuleMining(IntColumn sets,
                             CategoryColumn items,
                             double support)

Method Detail

learn

public List<smile.association.AssociationRule> learn(double confidenceThreshold)

interestingRules

public List<smile.association.AssociationRule> interestingRules(double confidenceThreshold,
                                                                double interestThreshold,
                                                                it.unimi.dsi.fastutil.objects.Object2DoubleOpenHashMap<it.unimi.dsi.fastutil.ints.IntRBTreeSet> confidenceMap)

interest

public Table interest(double confidenceThreshold,
                      double interestThreshold,
                      it.unimi.dsi.fastutil.objects.Object2DoubleOpenHashMap<it.unimi.dsi.fastutil.ints.IntRBTreeSet> confidenceMap)