Uses of Interface
elki.itemsetmining.associationrules.interest.InterestingnessMeasure
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Packages that use InterestingnessMeasure Package Description elki.itemsetmining.associationrules Association rule mining.elki.itemsetmining.associationrules.interest Association rule interestingness measures. -
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Uses of InterestingnessMeasure in elki.itemsetmining.associationrules
Fields in elki.itemsetmining.associationrules declared as InterestingnessMeasure Modifier and Type Field Description protected InterestingnessMeasure
AssociationRuleGeneration. interestingness
Interestingness measure to be used.protected InterestingnessMeasure
AssociationRuleGeneration.Par. interestMeasure
Parameter for interestingness measure.Constructors in elki.itemsetmining.associationrules with parameters of type InterestingnessMeasure Constructor Description AssociationRuleGeneration(AbstractFrequentItemsetAlgorithm frequentItemAlgo, InterestingnessMeasure interestMeasure, double minmeasure)
ConstructorAssociationRuleGeneration(AbstractFrequentItemsetAlgorithm frequentItemAlgo, InterestingnessMeasure interestMeasure, double minmeasure, double maxmeasure)
Constructor. -
Uses of InterestingnessMeasure in elki.itemsetmining.associationrules.interest
Classes in elki.itemsetmining.associationrules.interest that implement InterestingnessMeasure Modifier and Type Class Description class
AddedValue
Added value (AV) interestingness measure: \( \text{confidence}(X \rightarrow Y) - \text{support}(Y) = P(Y|X)-P(Y) \).class
CertaintyFactor
Certainty factor (CF; Loevinger) interestingness measure. \( \tfrac{\text{confidence}(X \rightarrow Y) - \text{support}(Y)}{\text{support}(\neg Y)} \).class
Confidence
Confidence interestingness measure, \( \tfrac{\text{support}(X \cup Y)}{\text{support}(X)} = \tfrac{P(X \cap Y)}{P(X)}=P(Y|X) \).class
Conviction
Conviction interestingness measure: \(\frac{P(X) P(\neg Y)}{P(X\cap\neg Y)}\).class
Cosine
Cosine interestingness measure, \(\tfrac{\text{support}(A\cup B)}{\sqrt{\text{support}(A)\text{support}(B)}} =\tfrac{P(A\cap B)}{\sqrt{P(A)P(B)}}\).class
GiniIndex
Gini-index based interestingness measure, using the weighted squared conditional probabilities compared to the non-conditional priors.class
Jaccard
Jaccard interestingness measure:class
JMeasure
J-Measure interestingness measure.class
Klosgen
Klösgen interestingness measure.class
LaplaceCorrectedConfidence
Laplace Corrected Confidence interestingness measure.class
Leverage
Leverage interestingness measure.class
Lift
Lift interestingness measure.class
OddsRatio
Odds ratio interestingness measure.class
PhiCorrelationCoefficient
Phi Correlation Coefficient interestingness measure.class
SebagSchonauer
Sebag Schonauer interestingness measure.class
YulesQ
Yule's Q interestingness measure.class
YulesY
Yule's Y interestingness measure.
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