Class YulesY
- java.lang.Object
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- elki.itemsetmining.associationrules.interest.OddsRatio
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- elki.itemsetmining.associationrules.interest.YulesY
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- All Implemented Interfaces:
InterestingnessMeasure
@Reference(authors="G. U. Yule",title="On the methods of measuring association between two attributes",booktitle="Journal of the Royal Statistical Society 75 (6)",url="https://doi.org/10.2307/2340126",bibkey="doi:10.2307/2340126") @Reference(authors="P.-N. Tan, V. Kumar, J. Srivastava",title="Selecting the right objective measure for association analysis",booktitle="Information Systems 29.4",url="https://doi.org/10.1016/S0306-4379(03)00072-3",bibkey="DBLP:journals/is/TanKS04") public class YulesY extends OddsRatio
Yule's Y interestingness measure.\[ \frac{\sqrt{P(X \cap Y) P(\neg X \cap \neg Y)} - \sqrt{P(X \cap \neg Y) P(\neg X \cap Y)}}{\sqrt{P(X \cap Y) P(\neg X \cap \neg Y)} + \sqrt{P(X \cap \neg Y) P(\neg X \cap Y)}} = \frac{\sqrt{\alpha} - 1}{\sqrt{\alpha} + 1} \]
Reference:
G. U. Yule
On the methods of measuring association between two attributes
Journal of the Royal Statistical Society 75 (6)The use for association rule mining was studied in:
P.-N. Tan, V. Kumar, J. Srivastava
Selecting the right objective measure for association analysis
Information Systems 29.4- Since:
- 0.8.0
- Author:
- Abhishek Sharma
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Constructor Summary
Constructors Constructor Description YulesY()
Constructor.
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description double
measure(int t, int sX, int sY, int sXY)
Computes the value of the measure for a given support values
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Method Detail
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measure
public double measure(int t, int sX, int sY, int sXY)
Description copied from interface:InterestingnessMeasure
Computes the value of the measure for a given support values- Specified by:
measure
in interfaceInterestingnessMeasure
- Overrides:
measure
in classOddsRatio
- Parameters:
t
- Total number of transactionsX
- Support of the antecedentsY
- Support of the consequentsXY
- Support of the union of antecedent and consequent- Returns:
- value of the measure
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