Class LaplaceCorrectedConfidence
- java.lang.Object
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- elki.itemsetmining.associationrules.interest.LaplaceCorrectedConfidence
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- All Implemented Interfaces:
InterestingnessMeasure
@Reference(authors="P. Clark, R. Boswell",title="Rule induction with CN2: Some recent improvements",booktitle="European Working Session on Learning, EWSL-91",url="https://doi.org/10.1007/BFb0016999",bibkey="DBLP:conf/ecml/ClarkB91") @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 LaplaceCorrectedConfidence extends java.lang.Object implements InterestingnessMeasure
Laplace Corrected Confidence interestingness measure.\[ \frac{nP(X \cap Y) + 1}{nP(X) + 2} \]
Reference:
P. Clark, R. Boswell
Rule induction with CN2: Some recent improvements
European Working Session on Learning, EWSL-91The 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 LaplaceCorrectedConfidence()
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
- 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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