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AssociationRuleLearning

Guides

  • Association rule learning

Symbols

  • Apriori
  • Eclat
AntonAntonov`AssociationRuleLearning`
Eclat
​
Eclat
[data,minSupport,opts]
finds frequent sets using the Eclat algorithm
​
Details and Options

Examples  
(3)
Basic Examples  
(1)
Here we get the Titanic dataset:
In[1]:=
dsTitanic=ResourceFunction["ExampleDataset"][{"MachineLearning","Titanic"}];​​dsTitanic=dsTitanic[All,KeyMap[StringReplace[#,"passenger """]&,#]&];​​dsTitanic[1;;4]
Out[1]=
Here we find the frequent sets of variable values in the Titanic data that appear more than 100 times:
In[2]:=
aRes=
Eclat
[dsTitanic[All,KeyDrop[#,"age"]&],100]
Out[2]=
{class.1st}323,{class.1st,sex.female}144,{class.1st,sex.female,survival.survived}139,{class.1st,sex.male}179,{class.1st,sex.male,survival.died}118,{class.1st,survival.died}123,{class.1st,survival.survived}200,{class.2nd}277,{class.2nd,sex.female}106,{class.2nd,sex.male}171,{class.2nd,sex.male,survival.died}146,{class.2nd,survival.died}158,{class.2nd,survival.survived}119,{class.3rd}709,{class.3rd,sex.female}216,{class.3rd,sex.female,survival.died}110,{class.3rd,sex.female,survival.survived}106,{class.3rd,sex.male}493,{class.3rd,sex.male,survival.died}418,{class.3rd,survival.died}528,{class.3rd,survival.survived}181,{sex.female}466,{sex.female,survival.died}127,{sex.female,survival.survived}339,{sex.male}843,{sex.male,survival.died}682,{sex.male,survival.survived}161,{survival.died}809,{survival.survived}500
Options  
(2)

SeeAlso
Apriori
RelatedGuides
▪
Association rule learning
""

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